How to learn machine learning as a complete beginner: a self-study guide скачать в хорошем качестве

How to learn machine learning as a complete beginner: a self-study guide

A step-by-step roadmap of how to learn machine learning as a beginner. If you'd like to sign up for the Aleph 0 math / machine learning newsletter, fill out the form here: https://forms.gle/Rt1f5StAj3yZtakE6 ------------ BOOK RECOMMENDATIONS Grokking Deep Learning by Andrew Trask The 100-page Machine Learning Handbook by Andriy Burkov Deep Learning with PyTorch by Laura Mitchell, Sri Yogesh K, and Vishnu Subramanian 1a. FEED-FORWARD NEURAL NETWORKS Chapter 1 of Book by Michael Nielsen: https://neuralnetworksanddeeplearning... Grokking Deep Learning (Chapters 2,3) The 100-page Machine Learning Handbook (Chapter 3.1, 3.2, Chapter 6) 1b. GRADIENT DESCENT / BACKPROPAGATION Grokking Deep Learning (Chapters 4,6) Chapter 2 of Book by Michael Nielsen: https://neuralnetworksanddeeplearning... 2. CONVOLUTIONAL NEURAL NETWORKS Two videos by Computerphile: Blurs and filters:    • How Blurs & Filters Work - Computerphile   Edge detection:    • Finding the Edges (Sobel Operator) - Compu...   Intro to CNNs:    • CNN: Convolutional Neural Networks Explain...   Deep Learning with PyTorch (Chapter 5) 3. RECURRENT NEURAL NETWORKS Grokking Deep Learning (Chapters 11 and 12) Video by Serrano Academy:    • A friendly introduction to Recurrent Neura...   Stat Quest:    • Recurrent Neural Networks (RNNs), Clearly ...   4. AUTOENCODERS Deep Learning with Pytorch (Chapter 6). Video playlist by Digital Sreeni:    • Autoencoders and their applications   5. REINFORCEMENT LEARNING Deep Learning with Pytorch (Chapter 9). 6. ATTENTION Blog post by Jay Alammar: https://jalammar.github.io/illustrate... Lecture by Stanford Online:    • Stanford CS25: V2 I Introduction to Transf...   Intro: (0:00) Three book recommendations: (0:53) Feed-Forward Neural Networks: (2:06) Convolutional Neural Networks: (4:12) Recurrent Neural Networks: (5:21) Autoencoders: (6:36) Reinforcement Learning: (7:20) Attention: (7:54) General Tips: (9:06)