Machine Learning
In-IDE learning
Machine Learning 101
This is an introductory Machine Learning course. Machine Learning 101 (Introduction to Machine Learning) is currently in an early access state. The materials will be...
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Coding Machine Learning Algorithms
ML libraries make model building simple, but deep understanding is crucial for reliable results. Implement the main ML algorithms in Python to better understand how they work. This course is not about using pre-coded ml algorithms. Instead, you will code those on your own.
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Introduction to Natural Language Processing
Take your Python skills to the next level! Learn how to process, filter, and analyze texts, extract key terms, generate your own content, and perform simple text summarization.
In-IDE learning
Reinforcement Learning Maze Solver
This is an introductory Reinforcement Learning tutorial by JetBrains Academy demonstrating the approach on a simple task of solving a labyrinth. You will implement a...
In-IDE learning
Machine Learning 101 - RU
This is an introductory Machine Learning course in Russian. The course is currently in an early access state. Курс Machine Learning 101 (Введение в машинное обучение...
Hyperskill
MLOps Engineer
Bring the DevOps principles of continuous integration, continuous delivery, and continuous monitoring to the machine learning lifecycle by integrating MLOps in your pipeline. Learn essential concepts for effectively deploying and managing machine learning models in production environment.
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Deep Learning
Learn about neural networks and find out how to implement some of those yourself for your future job as a data scientist.
Hyperskill
Introduction to Reinforcement Learning
Learn how intelligent agents make optimal decisions through trial and error with our Reinforcement Learning course. Power innovations like self-driving cars and game AI. Future-proof your tech career in AI-driven fields.