Introduction to Machine Learning for Coders

For programmers who wish to learn how to create real-world machine learning models, Introduction to Machine Learning for Coders is a useful, hands-on machine learning course. Important subjects like data preparation, Random Forests, model validation, feature importance, neural networks, and developing data-driven applications are covered in the course. It is appropriate for developers with previous coding experience because it emphasizes learning through projects rather than just studying theory. Jeremy Howard developed the course, which is available via fast.ai (not Google).

Provider/Creator: Google
Category: Google Developers
Level: Machine Learning
Duration: ~5 hours
Certificate: Free learning resources (No formal certificate)
Rating: 4.7/5
Direct Course Link: Introduction to Machine Learning for Coders
Recommended For: Developers with coding experience