Today, we rely on artificial intelligence for everything. It helps us choose TV shows and make business decisions. Artificial intelligence works well with large amounts of information, optimizes processes, detects fraud, and creates new drugs. But from an ethical standpoint, AI poses more questions than it answers.
What problems keep AI experts up at night? Let’s find out.
We will not talk about how creating artificial intelligence systems is challenging from a technical point of view. This is also an issue, but of a different kind.
When you start learning about artificial intelligence, one of the first things that you encounter is Naive Bayes. Why are Naive Bayes classifiers so fundamental to AI and ML? Let’s find out.
Artificial intelligence has to operate with data that, in many cases, is big but incomplete. Just like humans, the computer has to take risks and think about the future that is not certain.
Uncertainty is hard to bear for human beings. But in machine learning, there are certain algorithms that help to find your way around this limitation. …
Searching for a new programming language to learn in 2021? There are many great options out there, but Rust might be one of the best. It’s fun to learn, can improve your skills as a software developer, and has a very welcoming community.
In this article, I will look at why you should learn Rust, list the path I would take to learn it if I were you, and then include resources (all of them free!) that you can use in your journey.
I’m not going to say that every software development company in the world is waiting in line…
Artificial intelligence is a field that has the possibility of changing people’s lives. With applications in healthcare, business, finance, and other places, it seems like it is everywhere.
To help you understand where it is going right now, we have compiled a list of top AI trends for the next year. We dove deep into market reports such as Markets and Markets report, studied the news sections of tech magazines and personal opinions of AI experts and futurists to provide a full and comprehensive account.
Here’s what we can expect from AI in 2021.
Rust has a very lively and fast-paced open source ecosystem, with a ton of contributors working on a ton of awesome projects.
And if you are asking — what can I build in Rust? The answer is almost everything.
This article will feature some of the open-source Rust libraries, frameworks, and repositories that could be useful to study or use for your own project.
For your convenience, I’ve split them into fields such as web development, game development, blockchain, and others. Let’s dig in!
Studying the theory of machine learning is only good if you put it into practice. In this post, you will find some machine learning project ideas for your portfolio that will allow you to showcase your skills in 2021.
I have collected some ML project ideas that can be easily implemented even by a beginner and help you get your first job or internship. I also included a link to a tutorial and a database for each project, so no more procrastinating! You have everything you need to start working on the project. Good luck!
Big data is a term that describes datasets that are too large to be processed with the help of conventional tools and also is sometimes used to call a field of study that concerns those datasets. In this post, we will talk about the benefits of big data and how businesses can use it to succeed.
Today, we will look at a rather old and somewhat quirky. language that most of you probably don’t have on your radars.
While Erlang is not as popular as some modern programming languages, it quietly runs applications like WhatsApp and WeChat that serve massive amounts of users every day.
In this article, I will tell you more about this language, its history, and whether you should think about learning it yourself.
Erlang is a functional, general-purpose language oriented towards building scalable, concurrent systems with high availability guarantees.
It was built at the end of the 1980s at Ericsson for handling…
Language is a logical structure that, in theory, should be easy for a machine to work with. How difficult is it, really, to train an ML text analysis system? Let’s find out today.
Text analysis is the process of obtaining valuable insights from texts.
ML can work with different types of textual information such as social media posts, messages, and emails. Special software helps to preprocess and analyze this data.
Text analysis and text mining are synonyms. They describe the same process of extracting meaning from data by observing patterns.
However, text analysis and text analytics are a bit different…
The principal goal of machine learning is to create a model that performs well and gives accurate predictions in a particular set of cases. In order to achieve that, we need machine learning optimization.
Machine learning optimization is the process of adjusting the hyperparameters in order to minimize the cost function by using one of the optimization techniques. It is important to minimize the cost function because it describes the discrepancy between the true value of the estimated parameter and what the model has predicted.
In this article, we will discuss the main types of ML optimization techniques.