Learning Resources for @teamadi

Machine Learning Complete roadmap to becoming a Machine Learning Engineer

Frontend Development Step-by-step guide to becoming a Frontend Developer

Backend Development Complete roadmap for Backend Development

DevOps Guide to becoming a DevOps Engineer

Full Stack Development Everything you need to become a Full Stack Developer

Statistical Machine Learning Complete lecture notes from UC Berkeley's STAT 154 (Spring 2025)

The Scaling Era: An Oral History of AI, 2019-2025 A comprehensive oral history capturing the transformative AI revolution and scaling developments

Artificial Intelligence: A Modern Approach The definitive textbook on AI principles, algorithms, and applications by Russell and Norvig

Deep Learning Comprehensive guide to deep learning by Goodfellow, Bengio, and Courville

Attention is All You Need Papers and Beyond Understanding transformer architectures and their impact on modern LLMs

Superintelligence: Paths, Dangers, Strategies Nick Bostrom's exploration of the risks and implications of artificial superintelligence

The Alignment Problem: Machine Learning and Human Values Brian Christian's examination of AI safety and the challenge of aligning AI systems with human values

Transformers for Natural Language Processing Practical guide to building NLP applications with transformer models

Neural Networks: Zero to Hero Andrej Karpathy's comprehensive video series building neural networks from scratch

Attention is All You Need Detailed explanation of the transformer architecture that powers modern LLMs

Intro to Large Language Models Andrej Karpathy's introduction to understanding how LLMs work

Neural Networks by 3Blue1Brown Beautiful visual explanations of neural networks and deep learning fundamentals

CS224N: NLP with Deep Learning Stanford's advanced course on natural language processing with deep learning

CS231N: Convolutional Neural Networks Stanford's course on CNNs for visual recognition by Fei-Fei Li and Justin Johnson

Reinforcement Learning by Karpathy Deep dive into reinforcement learning principles and implementation

The State of AI in 2024 Overview of recent advances and trends in artificial intelligence

Statistical Learning Stanford's course on statistical learning methods taught by Tibshirani and Hastie