Everything you need to get started

Female on horse
Female on horse
Photo by Phil Hodkinson on Unsplash

Kaggle is the first place to go for anyone who studies machine learning. This interactive online platform provides hundreds of databases and tutorials that you can use to kickstart your ML career.

But what the website is the most famous for are its competitions. It can be hard for a newcomer to orient themselves in the interface and understand where to get started. So, in this post, we will get you started with your first Kaggle competition!

A Few Words About Kaggle Competitions

Kaggle competitions are machine learning tasks made by Kaggle or other companies like Google or WHO. …

Create an ML project without writing a line of code

Machine learning becomes more accessible to companies and individuals when there is less coding involved. If you are just starting your path in ML, feel free to check out these low-code and no-code platforms.

What is the difference between low-code and no-code?

You have probably heard the terms ‘low-code’ and ‘no-code’ before.

Low-code simply stands for a reduced amount of coding. A lot of elements can be simply dragged and dropped from the library. However, it is also possible to customize them by writing your own code, which gives increased flexibility.

“Computing is too important to be left to men” — Karen Spärck Jones, computer scientist (1935–2007)

Today, it is almost impossible for some people to believe that such a field as software programming was once almost exclusively a female field. What started as an unprestigious tedious profession done by women is now the field where large amounts of money circulate. As soon as programming started to be used for rocket science and became more prestigious, women were squeezed out not only from their working places but also from the history of programming. Test yourself: how many great women in computer science can you remember?

Let’s try to fix this injustice. Feel free to share the names…

Discover the dark side of artificial intelligence

Image source: author.

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.

10 Ethical AI Issues

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.

I would like to focus on ethical issues in AI, that is, those related…

Let’s learn about one of the popular ML algorithms

Various beverages on a table
Various beverages on a table
Photo by Pritesh Sudra on Unsplash.

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.

Uncertainty and Probability in Machine Learning

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. …

Don’t get rusty this year

Photo by Roman Kraft on Unsplash.

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.

Why Should You Learn Rust?

I’m not going to say that every software development company in the world is waiting in line…

Learn about the trends that will shape the next year and, perhaps, the decade

Photo by National Cancer Institute on Unsplash.

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.

Biotech and healthcare

Photo by Viktor Forgacs on Unsplash

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!

Web development frameworks for Rust

Build your machine learning portfolio with these ideas — examples and tutorials included

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.

ML project ideas for beginners

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!

Predictions with machine learning

Learn about the six Vs of big data and where you can use big data in your business

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.

The six Vs of big data


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