AI and Data Scientist — resources
roadmap.sh: https://roadmap.sh/ai-data-scientist
Books
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani) — the accessible canonical ML text, free PDF with R and Python labs.
- The Elements of Statistical Learning (Hastie, Tibshirani, Friedman) — the deeper, rigorous companion reference for ML theory.
- Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (Aurélien Géron) — the go-to practical, code-first ML/DL book.
- Deep Learning (Goodfellow, Bengio, Courville) — the foundational deep learning textbook, available free online.
Courses / practice
- scikit-learn documentation — official user guide and API, doubles as a practical ML reference.
- PyTorch tutorials — official hands-on deep learning tutorials.
- Kaggle Learn — free, focused micro-courses on Python, ML, and deep learning with notebooks.
- fast.ai Practical Deep Learning — top-down, code-first deep learning course.