Property Management: Contributions of AI

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Fun Math Problems for Machine Learning Practitioners

This is part of a series featuring the following aspects of machine learning:

This issue focuses on cool math problems that come with data sets, source code, and algorithms. Many have a statistical, probabilistic or experimental flavor, and some are dealing with dynamical systems. They can be used to extend your math knowledge, practice your machine learning skills on original problems, or for curiosity. My articles, posted on Data Science Central, are always written in simple English and accessible to professionals with typically one year of calculus or statistical training, at the undergraduate level. They are geared towards people who use data but are interesting in gaining more practical analytical experience. The style is compact, geared towards people who do not have a lot of free time. 

Despite these restrictions, state-of-the-art, of-the-beaten-path results as well as machine learning trade secrets and research material are frequently shared. References to more advanced literature (from myself and other authors) is provided for those who want to dig deeper in the interested topics discussed. 

1. Fun Math Problems for Machine Learning Practitioners

These articles focus on techniques that have wide applications or that are otherwise fundamental or seminal in nature.

1. Fascinating Facts About Complex Random Variables and the Riemann Hy…
2. More Surprising Math Images
3. Beautiful Mathematical Images
4. Deep visualizations to Help Solve Riemann’s Conjecture
5. Spectacular Visualization: The Eye of the Riemann Zeta Function
6. New Probabilistic Approach to Factoring Big Numbers
7. Simple Trick to Dramatically Improve Speed of Convergence
8. State-of-the-Art Statistical Science to Tackle Famous Number Theory…
9. New Perspective on Fermat’s Last Theorem
10. Fun Math: Infinite Nested Radicals of Random Variables – Connection with Fractals and Brownian Motions
11. Surprising Uses of Synthetic Random Data Sets
12. Two New Deep Conjectures in Probabilistic Number Theory
13. Extreme Events Modeling Using Continued Fractions
14. A Strange Family of Statistical Distributions
15. Some Fun with Gentle Chaos, the Golden Ratio, and Stochastic Number…
16. Fascinating New Results in the Theory of Randomness
17. From Infinite Matrices to New Integration Formula

2. Free books

• Statistics: New Foundations, Toolbox, and Machine Learning Recipes

  Available here. In about 300 pages and 28 chapters it covers many new topics, offering a fresh perspective on the subject, including rules of thumb and recipes that are easy to automate or integrate in black-box systems, as well as new model-free, data-driven foundations to statistical science and predictive analytics. The approach focuses on robust techniques; it is bottom-up (from applications to theory), in contrast to the traditional top-down approach.

  The material is accessible to practitioners with a one-year college-level exposure to statistics and probability. The compact and tutorial style, featuring many applications with numerous illustrations, is aimed at practitioners, researchers, and executives in various quantitative fields.

• Applied Stochastic Processes

  Available here. Full title: Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems (104 pages, 16 chapters.) This book is intended for professionals in data science, computer science, operations research, statistics, machine learning, big data, and mathematics. In 100 pages, it covers many new topics, offering a fresh perspective on the subject.

  It is accessible to practitioners with a two-year college-level exposure to statistics and probability. The compact and tutorial style, featuring many applications (Blockchain, quantum algorithms, HPC, random number generation, cryptography, Fintech, web crawling, statistical testing) with numerous illustrations, is aimed at practitioners, researchers and executives in various quantitative fields.

To receive a weekly digest of our new articles, subscribe to our newsletter, here.

About the author:  Vincent Granville is a data science pioneer, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent is also self-publisher at DataShaping.com, and founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target). He recently opened Paris Restaurant, in Anacortes. You can access Vincent’s articles and books, here.

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What Are Residential Proxies?

As more of our lives are being lived online, the need for tools to manage what information we spread and to protect our anonymity while browsing is becoming increasingly important. Proxies have been with us for some time and are commonly used tools to keep web scrapers and users’ browsing activities private.

While there is a wide class of different proxy tools, residential proxies are some of the most powerful. This type of proxy can deliver higher levels of reliability and security for web scrapers looking to extract data from difficult to scrape sites.

However, not everyone is familiar with this type of proxy and its many benefits. In this article, we’ll explain what a residential proxy is and answer some of the most important questions about using this technology.

What Is a Residential Proxy?

To understand exactly what a residential proxy is, you first need to grasp what a residential IP is. An IP address is a unique identifier assigned to an individual device when it connects to a network. This allows devices or endpoints to communicate with each other directly and without crossing wires.

A residential IP refers to the IP assigned to a specific device, such as a computer, mobile phone, tablet, etc. This IP is associated with information about the device, its owner ISP, and its approximate physical location.

Internet Services Providers (ISPs) own residential IP addresses and store them in public databases. They assign an IP to each device that connects to their network. Residential IPs are associated with a single device and, by extension, its user.

As residential IP addresses are associated with individuals, they are treated as real people by online services. In contrast, database proxies are usually linked with spam and may be blocked on the spot.

How do Residential Proxies Work?

Like most other types of proxies, a residential proxy routes your internet traffic through an intermediary server and forwards the requests to the target site using this IP address to make the request look like it is coming from someone browsing the internet from home. This effectively replaces your servers IP address with a new one that cannot be used to track your physical device.

The main difference between residential proxies and database proxies is that the former assigns real devices’ residential IPs to your requests, whereas database proxies assign an IP from a server residing in a data center making them easier to detect.

Because residential proxies are actually using someones more highly trusted, they are more reliable and effective than database proxies.

Why Should I Use A Residential Proxy?

There are many possible reasons to use any type of proxy, however, residential proxies are especially useful in certain circumstances:

The main benefits of using a proxy is that they are harder to detect for anti-scraping solutions and residential proxy providers generally have better city and state level geographic coverage that datacenter proxies allow, making them ideal when you need to make your requests look like they are coming from a specific city or state. However, there are also more specific cases in which a proxy can be useful.

Increasing Your Scraping Success Rates

Residential proxies are generally much harder to detect for anti-scraping solutions than data center proxies because it is very hard for them to distinguish if the request is coming from a real user or a bot using their IP address. Most websites don’t want to lose business so their threshold for banning or throttling requests from a residential IP is much higher than the threshold they use for data center proxies. Making residential proxies are great option for websites who are very aggressive when blocking scrapers.

Enhanced Geotargeting Capabilities

Another major benefit to residential proxies over data center proxies is the fact that the large providers have much better geotargeting capabilities than data center providers especially when trying to geotarget down to the city and state level. making them ideal when you need to make your requests look like they are coming from a specific city or state

Automation Use Cases

Residential proxies are also great options for use cases that require you to log into a site to scrape data or to automate some processes, like Instagram automation, sneaker or ticket purchasing, etc. This is because to log when logging into a account it is much easier for anti-bot systems to detect if you are bot or a real user.

Another reason is if you need to run a large number of requests, such as scraping websites or search engine data, that might be deemed suspicious activity. Similarly, proxies can help you conduct market, SEO, and competitor research as well as ad verification.

What are Residential Rotating Proxies?

Residential rotating proxies are also sometimes known as backconnect proxies. They are used to address the main weakness of a typical, individual residential proxy. That is, even though they are harder to detect than datacenter proxies, if you make hundreds or thousands of requests to the same website with that IP address the target website will quickly ban the IP as it becomes pretty obvious to them that there must be an automated system making the requests.

In contrast, when you use a rotating residential proxy pool, you get access to an entire pool of residential IPs. Where the provider will automatically spread your requests across all the proxies in its pool so it looks to the website that there are thousands of individual users visiting the site instead of one user.

The larger the pool of IPs is, the more reliable and effective it will be. Every time an IP gets blocked (as a result of too many requests, for example), it will simply reroute the request to a different proxy and continue what you were doing with a clean slate.

Residential Proxies Are Very Expensive, Do I Really Need to Use Them?

Its true, residential proxies tend to cost significantly more than normal data center proxies. Even from the same provider, residential packages can cost 10 times more than their data center proxy packages.

That being said, for some of the difficult to scrape sites using standard data center proxies simply won’t cut it unless you use an advanced proxy rotator.

In 99% of cases, you can use data center proxies to reliably scrape a website if you make use of more sophisticated header and cookie management techniques to disguise the fact that you are actually a scraper. However, if you don’t want to take the time to learn how to do this or you’ve tried and failed to do this in the past then residential proxies are a good fallback option.

The one type of use case that generally requires residential proxies is when you want to log into a site and scrape data from behind the login or do automated actions like post a Tweet or like one of your follower’s posts.

Where Do Residential Proxy Providers Get Their Proxies?

This is where residential proxies can get a bit murky. As mentioned previously, residential IPs are associated with real devices and real people so these addresses are owned by and assigned to users by ISPs. For that reason, they are more difficult to obtain than datacenter or server-based proxies, which partly explains the higher cost of residential proxy services.

The typical way for residential providers to get these proxies is via offering free or low cost VPN solutions where the user in their terms and conditions agrees to allow the VPN provider to let them use the users IP address as a proxy for other providers. This is a bit murky as technically these VPN providers say in their terms and conditions that they are going to do this, however, most users never read the T&Cs and have no idea that this is happening.

Some VPN providers are more upfront in this or compensate the user for the traffic they put through their IP address, however, some don’t.

Legitimate proxy services take the anonymity and data privacy of individuals very seriously. For that reason, they are unlikely to disclose any exact details regarding the individuals or methods involved in obtaining their pool of IPs. So it is always better to go with the more established and reputable residential providers.

Are Residential Proxies Illegal?

Provided that the residential proxy provider acquired their residential Ips legally, and the users have agreed to their use as proxy solutions then they are perfectly legal. Although they might be against the T&Cs of certain online services, there is nothing illegal, in itself, about using a residential proxy.

How Can I Use Residential Proxies?

Getting started with a proxy and setting it up on your device is usually a relatively straightforward process. The steps may vary slightly depending on the proxy provider you choose, however, in most cases they will provide you with a proxy port or an API endpoint that you can send your HTTP requests too and they will then route your requests to the appropriate residential proxy in their proxy pools.

Sometimes, they will provide you with individual residential IP addresses for you to use, but this isn’t standard practice and isn’t used by the bigger residential proxy providers.

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Blockchain Strengthening Mobile App Development: Is This Even Possible?

Blockchain will be one of the most used technologies in the coming times. The reason is simple. You can integrate highly complex and encrypted data into a secure mesh to provide a secure online transaction. BFSI’s thriving industry can take full advantage of this disruptive technology and deliver more reliability and security to its customers.

Mobile app development services are embracing blockchain technology advancements these days. As a result, we find robust mobile application solutions for global companies. Biggies like LG, Microsoft, and Facebook have also integrated Blockchain technology into their system.

Blockchain technology is being integrated into the corporate world through the development of blockchain applications. 

You may be wondering how Blockchain technology can affect the application development process.

Here are ten exclusive ways mentioned through which the mobile app development company can take advantage of the benefits of blockchain technology.

• Benefit 1: Blockchain offers security

The initial benefit of the revolutionary blockchain technology is that it makes applications more secure. The technology can use the most advanced cryptography. 

This technology concept is somehow designed in such a way that it can offer the highest level of security with strong encryption.

Here I’ll give you a glimpse of how blockchain technology works:

The technology offers a regular chain of series or some series of interconnected blocks. Each block has the transaction data and the timestamp of another block. The data is encoded and stored in a cryptographic hash that alters any impossible blocks. Now each neighborhood has a cryptographic form for the previous block.

• Benefit 2: Blockchain increases reliability

In addition to increasing data security, technology can significantly increase the reliability of a mobile application. It is mainly due to the fact that the blockchain structure itself is robust and reliable. 

Blockchain construction makes the whole system against any collapse or crash. It also has many blocks that own the data in more than one place, which makes the Blockchain more reliable.

Blockchain servers and other relevant hardware have a distributed nature that prevents any unauthorized data tampering attempts. 

Thanks to the multiple data centers in different locations, even a small notification is regularly visible. All these features make the blockchain approach reliable for a mobile application development solution for businesses.

You can always hire app developers to help you make full use of this reliability of blockchain. 

• Benefit 3: Blockchain promotes simplicity

Another major benefit of blockchain technology is its simplicity. When it comes to simplicity, Blockchain has an advantage over relative concepts that perform similar functions. 

The simplicity makes it an easy-to-develop and cost-effective approach for ethereum app development company. 

If the technology is sophisticated, it takes more effort, time, and money to integrate, maintain, and modify it. 

Simply put, complex techniques contribute to increased costs related to application development and maintenance. The Blockchain can help entrepreneurs get rid of higher prices while offering them a feature-rich mobile app.

• Benefit 4: Blockchain keeps applications up to date

Blockchain technology is evolving at breakneck speed. The process that is growing these days, we can expect it to bring the maximum updates shortly. 

As a result, the complete business mobile application will be ready to address future requirements, and finally, you will be able to offer better customer services with such an up-to-date mobile application.

The technology behind Blockchain is also available as open-source technology. Blockchain application developers can easily share and use advancements to make the application more powerful and secure. 

In a way, blockchain technology can help reduce application development time and cost while creating advanced mobile application solutions.

• Benefit 5: Blockchain increases transparency

Security improves transparency. Blockchain technology records every transaction in such a way that users can simply track them whenever they want. The technology ruled out the possibility of any fraudulent transactions or fabricated information.

The Blockchain makes the application and the entire system tamper-proof and resistant to any fraudulent activity.The blockchain application can also help entrepreneurs to gain customer trust. Users can safely transact through such applications and be sure of the protection of their valuable data. Furthermore, the concept is scalable to manage multiple users at the same time.

The application of blockchain technology is not restricted to any sector. With core features like secure data exchange and transaction, any industry sector can take advantage of Blockchain technology. 

Healthcare, logistics, and real estate may emerge as the most significant advantages of blockchain application development in the future.

• Benefit 6: Blockchain frees you from passwords

Regardless of how strong the password you set for your devices, there is always a fear that it will leak. Blockchain technology helps us get rid of this fear.

With Blockchain, the password is hardly necessary to verify any transaction or device. The two parties included in the offers usually make payments by SSL certificate. 

In addition to this, the blockchain network reviews everything while making it visible and accessible to everyone, thus eliminating the chances of being fake.

• Benefit 7: Identity Protection

One of the essential advantages of Blockchain technology is security.

It is quite impossible for any hacker to shut down the entire system, as the data storage is not on any server but on each block. Blockchain offers the user working in crypto with secret key encryption.

The blockchain working mechanism ensures that no one can misuse the data.

• Benefit 8: Protect digital information that requires multiple users

Encryption is very complex with blockchain technology. It is so complicated that it makes it absolutely impossible for someone without a decryption key to fooling the system. 

This lends itself to any system that needs to offer access to different users but at the same time requires verification of the information that fits.

For example, it is very common in the legal and financial sector to have multiple signatures on a document or some contract. 

Through the Blockchain, different parties can access and edit this information at the same time without the need to interact with each other. The only verification required would be to check the Blockchain and see the adjustments made.

• Benefit 9: Blockchain is developing regularly

The speed at which blockchain technology advances is very high compared to other techniques. 

Choosing Blockchain, therefore, is the best decision. Since in the future, this technology will have many software updates and more improved services for your mobile application. The process and tools used to design blockchain technology are readily available and can be quickly accessed by users. 

Technology also enables its users to make suggestions that can lead to the future success of the organization. With all the emerging technologies, you better keep up-to-date, as we see many changes as we migrate to a more digital world.

• Benefit 10: Blockchain adds a complex digital accounting system

It is easy to understand how blockchain development works when you consider it a ledger. The Blockchain is just a digital ledger that works with an extensive computer network, which analyzes and sends data collaboratively.

When some information is modified, that change is transmitted to the rest of the machines in the system that have the same general ledger, and the values ​​are adjusted at the same time.

Mobile technology also has a requirement for this kind of systematic approach. In their current form, most systems, not just mobile networks, are used as both server and client-side systems. 

The mobile application and the phone act as a client, and a central server forks the data when requested. Mobile networks are stressed, with many channels trying to get data wirelessly. 

This can cause certain information to be lost. With more developed data storage and transmission coming with blockchain technology, this could be improved.

Since blockchain technology has increased substantially in mobile app development in recent years, the technology itself needs to be thoroughly explored. We can expect many of its innovations and applications to be released in the coming years as mobile application developers will make it part of the global application development process.

You can hire blockchain developers in India who have the art of integrating Blockchain features to take advantage of its benefits. We can see the immense opportunities and possibilities in blockchain technology mainly when combining emerging technologies such as AR, VR, IoT, and AI. 

Therefore, it is always important to verify that your blockchain application improves over time with some valuable analytical feedback related to performance failures, memory failures, storage, latency issues, and regular crashes.

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Marketing Automation in Modern Businesses

The opportunities of the modern market, with its eCommerce and multiplicity of brands, provide customers with a choice they never had before. So companies strive to evolve their marketing strategy in order to have a leading position in the race with their competitors. But how to place more ads and send messages to customers without scaring them off? And how to convert a doubting potential client into a loyal one? 

This is possible with marketing automation software. Such software offers companies tools that help them set up a steady personalized communication with each of their contacts and thus, win their trust and make them regular buyers. How?

A marketing automation platform structures all the information about customers, using their personal data and preferences. The latter is tracked across social media, the websites visited by a person, the history of purchases, etc. Based on this, the system assesses the readiness of the prospect to make a particular purchase in a given time. Notifications are sent to sales representatives then, so they can contact the right person at the right moment.

In addition, the above technology automatically creates attractive personalized content that appeals to customers. Each of them receives messages exactly the way they want, whether by email, SMS, or via various apps. The ads appear in a non-intrusive way to catch the interest of the audience. This helps to generate new leads and nurture clients until they are ready to purchase.

Marketing automation solutions vary depending on the vendors and features. They can be on-premises or cloud-based. The latter solutions are easier to implement as they don’t require a physical server and provide their users with remote access. Whatever the approach is, all platforms have the same basic tools. These refer to:

• email creating and sending;
• sending mobile messages and notifications;
• social media posting;
• launching ads.

The above processes run automatically. This frees the staff from repetitive time-demanding actions and gives them space to develop new strategies and take care of high-priority tasks. The technology works well not only for large enterprises with multiple workflows. It also helps small businesses to expand and do more with a limited budget and resources. 

Another substantial advantage of marketing automation is its simplicity. The providers offer a user-friendly interface, so the required actions can be performed just in a few mouse clicks. Additionally, all the information about customers and their interaction with the brand is gathered in one place. This makes it easy for the marketing and sales departments to better organize their work.

To introduce marketing automation into your business processes, you need to take a few necessary steps.

Firstly, marketing, sales, and customer support teams should work together. If their managers don’t cooperate while introducing the new technology, they won’t use it later. So the departments need to develop a common strategy for the implementation of marketing automation.

Secondly, the application of the platform’s tools should be carried out from the simple to the complex. Marketing automation has a lot to give to its users. Pursue just one objective for a start and gain pace along the way.

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Top iOS App Development Trends That Will Dominate 2021

When it comes to an iOS app development company, the best companies are always in pursuit of the next trend that is going to hit the market. These services are everywhere, but staying on top of these trends can be relatively challenging. iOS app development has come a substantially long way, and it is exciting to see what will be Apple’s next invention. It is why we have put up some of the top iOS development trends that are most likely to dominate this year. So, below are the trends that we can expect to rule 2021.

IoT Mobile Apps

With time, the Internet of Things has made its way into our lives. It has gone from being remotely there to almost becoming a significant part of our daily lives. Thus, it is not a surprise that the IoT will allow devices to connect and exchange data. Therefore, it is likely that IoT mobile apps will be a dominating trend this year.

The IoT lets are users share data across devices with ease. Irrespective of the industry, mobile apps that implement the Internet of Things are highly beneficial for the users. Automatic control is a great advantage for the apps that facilitate the Internet of Things, and the same goes for the iOS apps. Thus, it is likely that these iPhone apps will see a drastic increase in 2021.

iOS Apps with Cloud Integration

When we are talking about the top iOS development trends that are likely to dominate in 2021, it is impossible to miss out on cloud integration. Cloud integrated iOS is undoubtedly on the top of these trends. Cloud allows people to not only store but also share their data with total security.

A mobile app with cloud integration is the main goal for many iOS developers since they already see it. Till now, cloud integration has been highly influential, productive, and it has a significant impact on the users and developers providing these services. Therefore, developers who are working on iOS apps should highly consider using cloud integration while building apps.

Integration and Wearable Apps

For the developers working on iOS apps, it is a must to know that integration and wearable apps are very likely to rise as a trend in 2021. Even if we consider the Apple Watch, its use has been increasing over the years, and it is becoming more mainstream with time. Here are some apps that people use daily:

• Email and reminders
• Fitness tracking apps and heartrate monitors
• Messaging apps

There are many new developments in this sector. Thus, wearable apps are always coming up with something new, especially in healthcare and fitness. Furthermore, the wearable device market’s total expenditure was a whopping 52 billion USD in 2020. It is a sign that more app users are resorting to wearable apps with time. Thus, iPhone app developers should consider it and work on the wearable apps sector.

Apps with Mobile Payment

Mobile payments are rising with time, and it has increased even more since the onset of no-contact transactions because of COVID-19. Smartphones are a unique way to make payments on the go. According to a study, approximately 87 million people are using Apple Pay all over the world. For the developers working on iOS app development, apps using mobile payment methods and Apple Pay will increase. The E-Commerce and Online Banking sector is also witnessing an increase over the years and online payment options. Users love using payment apps that are convenient, easy to use on the go, and secure.

5G Tech Apps

We cannot deny the fact that 5G will have a significant impact on the app trends of 2021 for iOS app development. Especially for developers, it will change how they develop apps. It means that the speed and efficiency of app development will drastically improve.

Not only that, but it is also most likely to reduce latency by almost ten times. If we compare 4G with 5G, 5G is nearly a hundred times faster, but it also depends on the mobile network operator. All in all, 5G technology is going to boost the functionality of iOS apps majorly. Thanks to it, developers will now be able to add extra features without it harming the app’s performance.

Beacon Tech Apps

Many industries use beacon technology in their apps, from healthcare to hospitality to retail. It is because beacons drastically increase the functionality of any mobile app. Not only that, but beacons can also help track the behavior of a buyer in a particular store, making things easy for the seller. For instance, it can track if a customer is spending so and so time in a specific shop section. After that, it can trigger a push notification that will announce a sale in the near future on the same products.

AR and VR

These are two of the most noteworthy trends that have taken the tech industry by storm. It helps us perceive information in different ways. We can use Augmented and Virtual Reality for many practical reasons like shopping, searching for data, improving ourselves, and so on. One such example of a company using AR and VR is L’Oreal.

It uses AR by offering its buyers to try different hairstyles using their app “Style My Hair.” Using such methods also helps them increase their sales. Similarly, Google Maps’ “True View” also makes use of AR. With it, you can find out the exact location of a person by using your phone’s camera and pointing it at the nearest buildings. There is extensive usage of AR and VR in mobile app development. Thus, it is highly likely to dominate the iOS app development market as a trend in 2021.

Final Words

So, these were some of the top trends that are most likely to dominate 2021 for iOS app development. Considering these trends and working accordingly for iOS app development will be highly beneficial.

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Mobile GPS Warning – Be Wary of Cracked Software Program

GENERAL PRACTITIONERS navigational systems appear to be part of the “in” thing nowadays. This is even more evident with the appearance of cost-effective mobile GENERAL PRACTITIONER gadgets which you can buy for less than a hundred dollars. The only problem with an economical price is that it comes with a “reward” – the possibility of using a fractured software application.

You are possibly conscious that almost all types of electronics come with a Chinese brand as well as portable GPS tools are no exemption. These versions take on the “well-known” OEM producers but are getting a reasonable share of the marketplace as a result of their less expensive rate.

To keep these prices at the lower end, equipment distributors disperse these units minus the certified software – and also this is where the issues begin.

Your Mobile GPS Device as well as Cracked Software Application

Distributors of mobile GPS gadgets originating from China obtain these devices at wholesale rates without any qualified software. It would certainly be up to you as the consumer to choose the very best GENERAL PRACTITIONER software for your demands that would certainly be compatible with your system.

Trustworthy distributors may give systems mounted with functioning analysis software applications, so you can check the capability of the unit. You can have the choice to purchase the full variation of this software application or pick an additional one according to what you choose.

The trouble is, some underhanded suppliers would attempt and also set up broken or pirated software programs in their units, passing them off as the actual thing. The consumers like you would certainly wind up with a gadget that breaks down on you – normally throughout a time when you truly need it one of the most.

To ensure that you won’t obtain caught out in the open with the badly-working Crack Software Download, you ought to only purchase mobile GENERAL PRACTITIONER devices from a credible source. Other than that, you can do specific activities by yourself to make it certain that you’ll just get a real and reputable software application for your requirements.

Available Resources on the Right Course

How do you find out if your provider is selling you pirated software applications for your mobile GPS gadget? Trustworthy distributors typically use twelve-month warranties on the items they offer. Other than that, the items also lug a Quality assurance seal guaranteeing you that you’ll only obtain great items.

If you have doubts, however, you can always inspect the serial number that goes with your software application and also confirm it versus the maker’s database. The software program supplier would be most ready to aid you hereof. That’s the appeal of a genuine or exclusive software program – excellent consumer support and also service.

You can likewise tackle the open-source path for your portable GPS software application requires. Open-up resource applications are offered which you can utilize for your gadgets as long as they work. There is free software readily available which you can make use of such as Waze. You might not obtain all the extra functions with the cost-free software application, however, the majority of your mobile GENERAL PRACTITIONER tool’s standard functions would certainly be supported.

Do Something About It: Make a Stand against Software Program Piracy

If you’re a business owner engaged in marketing portable GPS systems online or with a physical shop, you must watch out for offering items mounted with pirated software. Not only would this be unlawful, but it can likewise damage your online reputation in this service – as well as shed your beneficial customers permanently.

Make a stand and also offer just authentic navigational gadgets and software applications. You need to additionally report unscrupulous providers using fractured software applications on their products. Not only will you do your consumers great excellent, yet the entire sector also.

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DSC Weekly Digest 17 May 2021

Energy has dominated the news the last couple of weeks. On the one hand, the Colonial Pipeline hack exposed the vulnerability of the networks that control our energy distribution system, resulting in a surprise counterattack by the US on the hackers that both locked them out of their own system and apparently also made it impossible to get to their own digital currency.

On the other hand digital currencies have seen a major run-up, especially in Ethereum and Dogecoin, as speculators have bid prices of these blockchain-based coins into the stratosphere, likely in response to the possibility that increased commodity prices are an early warning of hyperinflation (which is grist for another editorial).

Similarly, Non-Fungible Tokens (NFTs) have taken the art and speculative realms by storm, employing blockchains to make a digital copy of a piece of artwork unique, something that is almost impossible to otherwise manage in the digital realm. DSC Contributing Writer Stephanie Glen has written a must-read article this week that explains what NFTs are, why they are attractive, and why they also may be yet another tulip mania.

This site is devoted in great part to machine learning and other computationally intensive technologies, but it is always worth remembering that computation always comes at a cost, and that cost is almost invariably energy-related. There is a perception that technology is “green”, but it’s more accurate to say that technology is simply distributed, which means that most people do not see the direct impact of technology, because the place where the power is generated is typically quite far away from where it is consumed.

This means that we as data professionals need to recognize that we need to keep our algorithms as efficient as possible, perhaps trading some (usually spurious) accuracy for less power-hungry applications. Moreover, we should advocate the notion that the energy involved in creating better models (or calculating primes to ensure rarity) be better accounted for in our businesses, rather than simply dumped out the back door onto society’s commons. If the speculators who have dreams of becoming rich on Ethereum or Dogecoin or some dubious NFT scheme had to factor in the costs of data mining for primes, they may find that the benefits aren’t worth it.

This is why we run Data Science Central, and why we are expanding its focus to consider the width and breadth of digital transformation in our society. Data Science Central is your community. It is a chance to learn from other practitioners, and a chance to communicate what you know to the data science community overall. I encourage you to submit original articles and to make your name known to the people that are going to be hiring in the coming year. As always let us know what you think.

In media res,
Kurt Cagle
Community Editor,
Data Science Central

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Seven Rules for Delivering Machine Learning Projects on Time

Predicting the length of time it will take to get a Machine Learning (ML) project into production can be tricky. If there is an issue, more often than not, it is likely related to a disconnect between engineering and the data science team. Collaboration between data science and engineering is critical for ML projects, but it is often a challenge.

Although data scientists and engineers both work with code and machines – their roles and mindsets are different. Data scientists extract knowledge and insights from data, while software engineers build products and systems. Data scientists can spend considerable time creating and tweaking data models and algorithms to get an ideal result, which makes their work more experimental and iterative than software development. Engineers are responsible for building functionality around the ML data models and getting products into production within a set timeframe.

The model development portion of an ML project is considered the ‘research phase’ and is where many ML projects get stalled due to continual model adjustments. Therefore, it can be extremely beneficial for data scientists to think in engineering terms, which often leads to a faster production cycle.

When it comes to ML project management, one can separate the process into three stages: Proof of Concept (PoC) or the research phase, the Demo phase, and the Engineering phase. In this article, we examine these different phases and how one can handle them to ensure smooth and timely delivery of projects. The resulting protocol can also ensure better estimates of time for production deployment.

Based on several years of experience handling various ML projects as part of a data science team, we have created a number of heuristic rules that one can follow to ensure smooth, predictable and faster time to production. 

PoC Phase

Almost all ML projects require a PoC phase. PoC ensures a reasonable performing model, apart from ensuring feasibility.

Rule 1: Time bound PoC efforts

Since the PoC is essentially a research effort, it can go on for an undetermined time for two main reasons:  1) data scientists are never done searching for a better model and 2) ML models have a multitude of hyper-parameters to adjust and refine. Therefore, it is essential to set and stick to a pre-determined timeframe to complete the PoC. This reality also drives the need for Rule 2.

Rule 2: Set Expectations of PoC beforehand

Start by clearly defining the output of the PoC either in terms of metrics or a set of feature behaviour. One could argue that by clearly defining Rule 2, Rule 1 is unnecessary. But, Rule 2 will only be operational if the problem can actually be solved. Therefore, Rule 1 ensures the team does not go beyond a certain number of retries before giving up.

So how do you estimate the appropriate amount of time to develop a PoC? This takes experience and can evolve, but as a rule of thumb:

1. 5 months for problems involving classical learning techniques or problems involving transfer learning
2. 3 months for problems involving proven deep learning techniques

Demo Phase

Once the viability of the ML project is ensured, demonstration of the work becomes important. This also sets the path for Minimum Viable Product (MVP).

Rule 3: Demonstrate PoC effort to all the stake-holders

Involving the stakeholders has a number of impacts for MVP:

1. Defining future course of the product
2. Defining or re-defining supported features
3. Redefining ML metrics
4. Defining how it fits into an existing product or in the case of a new product, what the final product will look like

Though stakeholders differ from project to project, the minimum stakeholders should include:

1. Product Owners: Person(s) who defined the product at the first place (CTO/CEO)
2. Data Science Team: Team involved in PoC and subsequently, person(s) taking it to production
3. Engineering Team: This team helps define the feasibility of a product
4. Dependents: Mostly UI/UX team which takes the product to end-users. In some case, UI/UX may be combined with the Engineering team

The quality of demonstration becomes important as this is the project buying phase: the better the demonstration, the higher the chance of the project being approved. Data science is all about creating stories and this is the phase where the stories should speak clearly. These data science stories, combined with business understandable visualizations, are direct indicators of a successful demo. In addition to the model demo, a snapshot of how the PoC would be taken to production should also be presented by the engineering team and other dependents.

The demo phase should not last more than a month and should be time-boxed. Delaying a demo will result in higher chances of the PoC landing in the scrap yard or pre-empted by higher priority projects.

Engineering Phase

Once the project is in an approved phase, the next step is to take the PoC to production.  Taking a PoC into production needs to be handled carefully, since the underlying product sometimes becomes the face of the company.

Rule 4: Set the Requirements Clearly

Setting clear requirements is important as it not only defines the goals for the data science team, but also for all the team/parties on which ML project is dependent on. The following factors should be accounted for:

1. Features that will be supported
2. Business metrics to be met
3. Engineering and/or UI/UX requirements
4. Infrastructure needs and DevOps requirements
5. Budget allocation

The requirements should also determine if the final model’s performance does not meet the expectations either due to data unavailability or unforeseen model limitations. In such situations, one can still deploy to a limited set of users to validate the feature, as discussed under Rule 7.

Rule 5: Define Clear Timelines and the Design

Defining timelines for the data science team ensures the project is being tracked and brought to closure within an estimated time. It also sets a product launch time and therefore, timelines should be set carefully, accounting for unknowns. Timelines should also be accordingly defined for dependents to ensure all the parties work in parallel. A regular, agile-type tracking is required to identify blockers early and bring them to closure – before they start to over-power the project.

The allocation of sufficient time for QA and code reviews is often ignored in timelines. Code reviews ensure quality and code coverage, before QA takes over. QA defines the product stability and therefore, should be accounted for appropriately during the planning stage.

Timelines should include integration points clearly. In cases where a dedicated engineering team is available, at least one engineer from the product team should work together with the ML engineer to ensure smooth and faster integration with the system.

Design constitutes an integral part of the system and a well thought through system design ensures future changes, apart from system robustness. Timelines should allocate sufficient time for design which varies depending on whether it is entirely a new feature/product or an add-on feature. Various aspects to consider while designing:

1. Modularity and Reusability
2. Scalability
3. Accommodability for improved ML models
4. Ease of use by end users

Most of the ML projects take roughly 6-8 months to go to production.

Rule 6: Pre-launch Demo with All Stake Holders

A pre-launch demo is a good way to make sure the final product is consistent with what was agreed upon during start of the project. It also ensures the team accommodates minor changes resulting from final product observations and the resulting discussions. A pre-launch demo is also a counter-check on the business metrics defined earlier. Therefore, the pre-launch demo should be completed nearly a month before the launch.

Rule 7: Phase-wise Product Deployment

Deployment should be completed in phases to ensure user feedback is accounted for incrementally, thereby further ensuring product quality and stability. The specific phase-wise approach will differ depending on the type of ML project, but generally includes:

1. Selective User Deployment: Pre-define the users to whom the product will be available. Typically these are internal users, who are less risky to the business and will provide detailed feedback.
2. A/B Testing Deployment: This phase is used to show the feasibility of the ML solution against an existing solution, which in most cases, would be a heuristic or a rule-based approach. The product is exposed to end-users in selective way to judge the performance of the ML model.
3. Final Deployment: In this phase, the product is exposed to all users and/or all organizations.

The final deployment may take 2-6 months, depending upon different deployment phases involved, but plan on a minimum of 2 months.

After considering all the phases and steps, it’s clear that an ML project can take roughly 10-12 months from PoC to production. To ensure the project is delivered within the allotted timeframe, start with clear requirements and well-defined business metrics. Also allow sufficient time for QA and a phased deployment schedule. By following the framework above, the probability of delivering your ML project on time can increase dramatically.

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How To Use Augmented Reality In Distance Learning

Augmented reality technology has evolved into one of the most effective distance learning solutions. It enables tutors to both educate and engage their students in the learning process. It is partly due to the fact that the modern generation became acquainted with technology at a young age. What do you know about the applications of augmented reality in distance education?

Technology is already ingrained in the lives of today’s students. They have been using it since they were children. During the lockdown, most educational institutions switched to distance learning, believing that it was the best way to educate and stay safe during the pandemic.

Nonetheless, because they had no prior experience, this move proved to be difficult. It also caused many problems, such as efficient education and keeping students engaged at all times. Augmented reality has evolved into a helpful tool, allowing for the resolution of the majority of problems.

Augmented reality (AR) is a modern technology that allows a person to connect the physical and virtual worlds and interact with them in real time. It allows virtual objects to be integrated into the physical world and the educational process as well.

There are numerous benefits to using augmented reality in distance learning:

• It allows students to share content regardless of their location.
• It gives students quick access to high-quality, fun, and interactive experiences.
• It increased students’ motivation, attention, and confidence.
• It does not always necessitate the installation of a specific app or a monthly subscription, etc.
• It enables students to take virtual field trips, transporting them to a physical, real-world location thousands of kilometres away.

AR has the potential to alter how students interact with visual graphic experiences. It is capable of integrating computer-generated graphics into the real-world environment displayed on the screen.

Getting Practical Skills In Addition To Theory

It seems that distance learning appears to be all about theory, with no room for practice. Nonetheless, AR provides the ability to model a specific situation using a graphic representation of the environment. For example, students learn the topic regarding the lives of savannah tribes. They can travel far into the past and feel as if they are living in those days, thanks to augmented reality.

The learning process of pilots is another good example of AR use. Using it, students learn to apply their theoretical knowledge into practice. It helps to save their lives in the event of a mistake and practice a specific situation more than once.

Presentation Of Complex Phenomena and Subjects

There are concepts and phenomena in the educational program that are difficult to imagine without visual presentation. For example, cell structure of plants, molecule structure, interaction of chemical components at the molecular level, cell decay, etc. AR enables students to comprehend not only the structure of specific elements, but also to investigate how forest plants and animals interact to create a sustainable environment.

Virtual Trips And Language Advancement

A student can, for example, use special AR glasses (such as Epson Moverio or Everysight Raptor) and a downloaded app to immerse himself in Paris and learn French. Furthermore, after an exciting trip, he can take a test to assess his progress in learning a language. For example, the educational company Unimersiv created the House of Languages program. After installing it on a smartphone, a student can study foreign languages, visit virtual museums, airports, and cafes, among other things.

Taking a virtual trip is especially beneficial when a student is required to write an essay or report on a specific topic. Given that many museums and libraries had locked their doors during the pandemic, it proved to be a difficult task.

Using the AR technology, a student can get a complete understanding of the subject under study, which eases handling any type of writing. If you are still having trouble coming up with ideas, you can check out the top writers list to get writing help.

Thanks to the reviews of essay writing services, you can find the most appropriate variant with the best writing reviews rating. It will save youy time and provide you with a high-quality piece of writing.

A growing number of colleges and universities are experimenting with AR in these areas and using it to support curriculum delivery. AR engages students’ senses and enhances learning by immersing them in a world rich in both information and experience: it provides a learning experience that students are unlikely to forget.

Source Prolead brokers usa