DEV Community

anesmeftah
anesmeftah

Posted on

5 Free Books for Data Science & Machine Learning

Looking to learn Data Science or Machine Learning for free? Here are 5 excellent books you can access online — covering Python, ML, Deep Learning, Bayesian methods, and Statistics.

1. Python Data Science Handbook

  • What it covers: NumPy, Pandas, Matplotlib, and introductory Machine Learning
  • Author: Jake VanderPlas
  • Link: jakevdp.github.io/PythonDataScienceHandbook A must-read for anyone starting with Python for data analysis.

data science handbook

2. Deep Learning

  • What it covers: Full deep learning theory and practice
  • Authors: Ian Goodfellow, Yoshua Bengio, Aaron Courville
  • Link: deeplearningbook.org This is the definitive deep learning book, used in many university courses.

deep learning book

3. Probabilistic Programming & Bayesian Methods for Hackers

  • What it covers: Bayesian thinking with Python and PyMC
  • Author: Cameron Davidson-Pilon
  • Link: GitHub A fun, practical guide to understanding Bayesian statistics through Python.

Probabilistic Programming & Bayesian Methods for Hackers book

4. Dive into Deep Learning

  • What it covers: Hands-on deep learning with PyTorch and MXNet
  • Authors: Aston Zhang, Zachary C. Lipton, Mu Li, Alex Smola
  • Link: d2l.ai Perfect for learners who want practical coding examples alongside theory.

Dive into Deep Learning book

5. Think Stats

  • What it covers: Introduction to probability and statistics using Python
  • Author: Allen B. Downey
  • Link: greenteapress.com/wp/think-stats-2e/ Great for beginners to understand statistical thinking with Python examples.

Think Stats book


💡 Tip: Bookmark these books and follow along with the exercises — learning by doing is the fastest way to become proficient.

Top comments (0)