PopSci

A few weeks ago we wrote an article about Docker and WebRTC servers and talked about the intricacies of launching containers. Our readers (rightly) questioned whether Docker was a suitable tool for production, for the following reasons:

We at Data Science Digest have always strived to ignite the fire of knowledge in the AI community. We’re proud to have helped thousands of people to learn something new and give you the tools to push ahead. And we’ve not been standing still, either.

Please meet Data Phoenix, a Data Science Digest rebranded and risen anew from our own flame. Our mission is to help everyone interested in Data Science and AI/ML to expand the frontiers of knowledge. More news, more updates, and webinars(!) are coming. Stay tuned!

The new issue of the new Data Phoenix Digest is here! AI that helps write code, EU’s ban on biometric surveillance, genetic algorithms for NLP, multivariate probabilistic regression with NGBoosting, alias-free GAN, MLOps toys, and more…

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The popularity of online education is increasing every month. And since there is an increase in popularity, there is an increase in competition and an improvement in quality: many authors of online schools realized that nowadays it's not enough to just make something mediocre using the frontal camera of the iPhone 4. You need to work on the quality of the picture, sound, presentation of material, etc. Not only did the pandemic prove that you can teach salsa and even crochet online, so it also gave an excellent push to improve the materials taught + diversity in the labor market. Moms on maternity leave can rejoice - now you can truly earn a hundred thousand million per second, sitting at home.

During the lockdown, which is now weakening, then becoming more active with a vengeance, a huge number of new professions have appeared. Proficients in creating involving Instagram Stories, course producers, e-learning specialists and other unknown-before-creatures - all of them have mastered a new job that gave them the holy bread in the pandemic. Once you hire a creator of involving Instagram Stories (and let's all hope this person was teached by a professional, not a snake oil salesman), your business grows just with adding some creativity in advertising that will take the heart of even the most fastidious customer. Same works with e-learning specialists: you recruit them and they do all the important tasks from writing articles that will also help in promoting your classes to arranging lessons on your Coursera course. A complete flight of imagination: if it seems to you that some jobs don't exist, then you just don't spend enough time online. In general, online work has become popularized as never and now hardly anyone will say: "He is engaged in some kind of garbage - he makes TikToks but it would be better for him to toil at the factory!". In total, online work has become popularized as never and now hardly anyone will say: "He is engaged in some kind of garbage - he makes TikToks, but it would be better for him to toil at the factory!".

The new issue of DataScienceDigest is here!

The impact of NLP and the growing budgets to drive AI transformations. How Airbnb standardized metric computation at scale. Cross-Validation, MASA-SR, AgileGAN, EfficientNetV2, and more.

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Hackathons could be very intimidating and stressful. The key to getting better is doing simple projects. In this article, we will look at an example of a web app that can be used for sharpening your skills when you prepare for a hackathon. We will use a powerful Google API based on Machine Learning and apply the following technologies: ASP.NET, HTML, Docker, Heroku, and Git.

In the previous article we refreshed our memory of WebRTC CDN and the ways this technology helps to minimize latency for WebRTC streams. We also discussed why load balancing and autoscaling wouldn't be amiss in CDNs. Here are the main points from the article:

The vast majority of IT specialists in various fields strive to perform manually as few actions as possible. I won't be afraid of the loud words: what can be automatized, must be automatized!

Let's imagine a situation: you need to deploy a lot of servers of the same type and do it quickly. Quickly deploy, quickly undeploy. For example, to deploy test rigs for developers. When development is carried out in parallel, you may need to separate the developers, so they don't impede each other and possible errors of one of them don't block the work of the others.

There may be several ways to solve this problem:

These days, video streaming mobile apps have been witnessed with an increased spike of subscribers & now much video content is being much cherished without any interruptions via a streaming app. 

This is duly because catering to the prerequisite needs of end-users have popularized several VOD streaming services that has bought keen interest as compared to to the big black box which is slowly diminishing its presence. 

According to recent forecasted data, there is a positive anticipation of the entire VOD streaming  platform development’s  market to expand its size & peak its value by $842.93 billion by the year 2027! Source: Softermii 

The new issue of DataScienceDigest is here!

Machine learning in healthcare, the top 10 TED talks on AI, fraud detection in Uber, DatasetGAN, Text-to-Image generation via transformers, and more…

As you know, YouTube doesn't have a feature for capturing an RTSP stream, but we would like to change this and help YouTube to make their viewers happy.

Nowadays a lot of product managers have to confirm most of their decisions with AB-tests. Yet, it is far not always clear how to choose the parameters for the test. A particularly difficult parameter to tune is often the level of statistical significance. If we choose too high level - tests will fail even though improvements do exist. If we choose too low level - we'll be getting lots of "confirmations" of false improvements.

When we make decisions based on AB-tests, once in a while we'll be making mistakes. We can limit the losses caused by such mistakes by choosing the appropriate level of statistical significance.

New issue of DataScienceDigest is here! OpenAI is launching a $100 million startup fund, Albumentations 1.0 has been released, lessons on ML platforms, image cropping on Twitter, and more.

The new issue of Data Science Digest is here! Hop to learn about the latest news, articles, tutorials, research papers, and event materials on DataScience, AI, ML, and BigData. All sections are prioritized for your convenience. Enjoy!

The previous year has been very distressing for businesses and employees. Though, software development didn’t get so much affected and is still thriving. While tech expansion is continuing, Java development is also going under significant transformation.

The arrival of new concepts and technologies has imposed a question mark on the potential of Java developers. From wearable applications to AI solutions, Java usage is a matter of concern for peers.

Moreover, it is high time that developers enhance their skills as to the changing demands of the industry. If you are a Java developer, surely you too would be wondering what I am talking about what things you should learn.

We are increasingly aware of the importance of our personal data. Primarily due to numerous data leaks and the fact of numerous sales of personal information on the black market. Yes, huge corporations like Apple or Samsung prioritize the preservation of sensitive user data. However, they find it difficult to store and use them at the same time. That is why blockchain technology is the perfect tool for solving the online privacy problem.

There are constant news in the media about the problem of personal privacy, which is represented by constant data leaks and the general technological illiteracy of the world population. In the Pew study, nearly 80% of respondents said they are very concerned about how companies are using the data they collect. In MState's study, 24% of respondents stopped using certain apps due to privacy concerns.

Today, an increasing number of people are actively protecting their data by refusing the services of companies and applications that use personal data. This is why Apple, Lyft, Dropbox, and Adobe have started taking a consumer-centric approach to data privacy. Consumers' understanding that their personal data is a commodity is increasing.

Free TON is a prime example of a secure blockchain. This blockchain has some of the best features compared to Ethereum, Binance Smart Chain, and Stellar. Data security directly depends on the use of blockchain. Each of the above blockchains provides a different level of data protection. Ethereum is the most popular blockchain, but Free TON may soon overtake it. This blockchain is just over a year old, and its capabilities exceed those of all other blockchains.

Many of us spend time in specialized telegram groups. The power over communication here belongs to random people with their own shortcomings. Conflict and abuse occurs regularly. Is there another way to keep order so that scam spam doesn't flourish and no one has total control over group members?

In my case, these thoughts led to the development and testing of a system that can be connected to your Telegram today.

And so here we find ourselves in the year of our lord 2021. Global crypto market capitalization is approaching $2 trillion. PayPal is launching a crypto checkout service. Lindsay Lohan is shilling Tron. The Dogecoin Super Bowl commercial didn’t happen, but Elon’s taking it “literally” to the moon instead. Our ascendancy is complete. Crypto is mainstream. But, even today, getting your hands on certain crypto assets can be a bit of an epic journey. 

As we all are aware of the fact that the digital market is heavily leaning towards a reliable UX-driven process, app development has become quite complex, especially for targeting the industry for mobile platforms.

For every organization, creating a product that is beneficial for their customer needs always comes up with a plethora of challenges. 

From the technical point of time, there are various challenges that every business faces, including selecting the right platform for the app, the right technology stack or framework, and creating an app that fulfills the needs and expectations of customers.  

Similarly, there are more challenges that every business faces and needs to cope with while creating its dream product. 

So, what to do??

Well, what if I say that the answer to all your queries and questions is Flutter app development with Artificial Intelligence (AI)  integration……

Surprised? Wondering how? 

Well, AI in Flutter app development is one of the best advancements in the software market. The concept of AI was first introduced during the 20th century with loads of innovations and advancements that we are still integrating into our mobile app development. 

But, what are Artificial Intelligence and Flutter app development?