Machine learning (ML), a subfield of artificial intelligence, is essentially creating computer systems trained to make their own predictions without being explicitly programmed. Whether you notice it or not, machine learning already influences our everyday lives and the decisions we make. Every time you use language translation apps, browse through your streaming service's recommendations, or look for the optimal route via online maps, you engage with machine learning. One of the best ways to get a deep understanding of how ML algorithms work under the hood is to learn how to build them step by step. To help you with that, JetBrains Academy is introducing a new Machine Learning Algorithms From Scratch track, which provides fundamental knowledge and hands-on experience in creating the most common ML algorithms in Python.

Machine learning (ML) is everywhere these days. It helps us better detect malware and insider threats by continuously analyzing data to find patterns. It increases our productivity, improves service quality, and can even entertain us by recommending the movies we are likely to enjoy. ML capabilities have pushed a lot of people to start exploring machine learning, but writing algorithms and programs for ML isn't easy and requires significant mathematical knowledge. This track will build the basic foundation required for ML model development. It breaks down complicated mathematical concepts into easy-to-read theory followed by practical tasks.

During this pandemic, many organizations are offering free or drastically cheaper courses to help people skill-up for when we eventually get out of lock-down. There are numerous outlets if you want to learn to code from, for instance, Freecodecamp or the Free Fridays scheme from General Assembly. And for gamers, Gamedev.tv has taken 80% off its courses, where you can learn to code by building video games. However, most online coding courses, either free or paid, essentially suggest you download a project or copy-paste code from their snippets going through their courses. They tend not to include Integrated Development Environments, which are more helpful in the learning process.