Recommended Books

Here are some recomendation to dive deeper in data science and machine learning.

1. StatQuest

StatQuest is a educational resource and a YouTube channel created by Josh Starmer.
Contains clear and engaging explanations of complex statistical and machine learning concepts.

**Use StatQuest as a reference alongside with other materials. This is the best resource for a start and a reference point.

2. Neural Network From Scratch

Neural Networks From Scratch is a book by Harrison Kinsley and Daniel Kukieła.
A practical guide to building neural networks from the ground up using Python.

**This is only non-free resource on this list, but if you coming from a software engineering background - this is one of the best books to learn ML.

3. MIT: DeepLearning Book

The Deep Learning book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
Contains comprehensive coverage of deep learning theory and practice. THe foundation you need to understand the papers.

**Use this books as a foundation for your ML and deep learning jorney.

4. Tensorflow Resources

TensorFlow provides a currated list of resources for machine learning topics.

** I recommend TF because they are investing in dev. education and community around their ecosystem. Google is interested in growing thier future customers, so the materials are actually well structured and a great quality.