How to Implement Machine Learning Algorithms From Scratch

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.