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Machine Learning Katas

overview

Introduction to Machine Learning
Machine Learning in action
Introduction to Reinforcement Learning

Fundamentals

Handling data
Assessing results
Training models

Algorithms

Classic Machine Learning
Neural Networks and Deep Learning

Engineering

Introduction to MLOps
Machine Learning issues

Tools

Python
NumPy
Keras
PyTorch

Reference

Activation functions
Glossary
Acknowledgments

Repository
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By Baptiste Pesquet

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