Books

• The Art of Statistics: Learning from Data
• The Signal and the Noise: Why So Many Predictions Fail–but Some Don’t
• The Book of Why: The New Science of Cause and Effect
• The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
• The Hundred-Page Machine Learning Book
• Hands-On Generative AI with Transformers and Diffusion Models
• Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
• Deep Learning: A Practitioner’s Approach
• Deep Learning with Python
• Deep Learning: A Comprehensive Guide to Deep Learning
• Deep Learning: A Visual Approach
• AI Engineering: Building Applications with Foundation Models
• Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
• Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python
• LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production
• Hands-On Large Language Models: Language Understanding and Generation

Courses

• AI Python for Beginners
• Networking Basics

Youtube series

• Essence of Linear Algebra
• Machine Learning for SVM
• Machine Learning Stanford