Learning Resources for @teamadi
Development Roadmaps
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Machine Learning Complete roadmap to becoming a Machine Learning Engineer
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Frontend Development Step-by-step guide to becoming a Frontend Developer
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Backend Development Complete roadmap for Backend Development
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DevOps Guide to becoming a DevOps Engineer
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Full Stack Development Everything you need to become a Full Stack Developer
Favorite Reads
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The Scaling Era: An Oral History of AI, 2019-2025 A comprehensive oral history capturing the transformative AI revolution and scaling developments
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Artificial Intelligence: A Modern Approach The definitive textbook on AI principles, algorithms, and applications by Russell and Norvig
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Deep Learning Comprehensive guide to deep learning by Goodfellow, Bengio, and Courville
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Attention is All You Need Papers and Beyond Understanding transformer architectures and their impact on modern LLMs
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Superintelligence: Paths, Dangers, Strategies Nick Bostrom's exploration of the risks and implications of artificial superintelligence
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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
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Transformers for Natural Language Processing Practical guide to building NLP applications with transformer models
Favorite Videos
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Neural Networks: Zero to Hero Andrej Karpathy's comprehensive video series building neural networks from scratch
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Attention is All You Need Detailed explanation of the transformer architecture that powers modern LLMs
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Intro to Large Language Models Andrej Karpathy's introduction to understanding how LLMs work
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Neural Networks by 3Blue1Brown Beautiful visual explanations of neural networks and deep learning fundamentals
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CS224N: NLP with Deep Learning Stanford's advanced course on natural language processing with deep learning
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CS231N: Convolutional Neural Networks Stanford's course on CNNs for visual recognition by Fei-Fei Li and Justin Johnson
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Reinforcement Learning by Karpathy Deep dive into reinforcement learning principles and implementation
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The State of AI in 2024 Overview of recent advances and trends in artificial intelligence
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Statistical Learning Stanford's course on statistical learning methods taught by Tibshirani and Hastie