📐 ML Fundamentals

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How to Become a Machine Learning Engineer

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Data Scientist Roadmap

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Bad Bot Problem - Computerphile

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Siddhartha Chitrakar - Matrix Calculus and Usage in Machine Learning ml math

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PyTorch Crash Course: Deep Learning in Python

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The first transcription model with prompts

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Lec 05. Architectures: Graphs

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Lec 09. Hacker's Guide to Deep Learning

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Lec 16. Generative Models: Conditional Models

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Lec 15. Generative Models: Representation Learning Meets Generative Modeling

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Lec 04. Architectures: Grids

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Lec 02. How to Train a Neural Net

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Lec 17. Generalization: Out-of-Distribution (OOD)

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Lec 01. Introduction to Deep Learning

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Lec 20. Scaling Laws

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Lec 13. Representation Learning: Theory

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Lec 10. Architectures: Memory

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Lec 11. Representation Learning: Reconstruction-Based

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Lec 14. Generative Models: Basics

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Lec 03. Approximation Theory

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Lec 12. Representation Learning: Similarity-Based

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Lec 23. Metrized Deep Learning

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Lec 07. Scaling Rules for Optimization

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Lec 06. Generalization Theory

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Lec 18. Transfer Learning: Models

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