| Topic | Details | Type | Source |
|---|---|---|---|
| Full Course | Andrew Ng | Youtube | https://www.youtube.com/watch?v=PPLop4L2eGk&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN |
| Deep Learning | |||
| Deep Learning | |||
| Neural Network | Book | https://www.deeplearningbook.org/ | |
| Reinforcement | |||
| Learning | Book | https://www.w3schools.com/python/python_exercises.asp | |
| Undergrad Course | Book | https://aima.cs.berkeley.edu/index.html |
| Topic | Details | Type | Source |
|---|---|---|---|
| Math | Linear Algebra | Youtube | https://www.khanacademy.org/math/linear-algebra |
| Linear Algebra | |||
| Probability & Information Theory | |||
| Numerical Computations | Book | Chapter 2,3,4 of | |
| https://www.deeplearningbook.org/ | |||
| Coding | Python for beginners | Youtube | https://www.youtube.com/watch?v=kqtD5dpn9C8 |
| Python syntax and practice | W3 | https://www.w3schools.com/python/python_exercises.asp | |
| Python for ML | Youtube | https://www.youtube.com/watch?v=7eh4d6sabA0 | |
| CS | SQL tutorial | Youtube | https://www.youtube.com/watch?v=HXV3zeQKqGY |
| Data Structure & Algorithm | |||
| Engineering | Cloud computing | https://www.youtube.com/watch?v=r4YIdn2eTm4 |
https://www.youtube.com/watch?v=xcODUk0o6tU |
| Topic | Details | Type | Source |
|---|---|---|---|
| Basics | ML basics | Book Chapter | Chapter 5 |
| https://www.deeplearningbook.org/ | |||
| 5 min cheat sheet | |||
| Medium | https://towardsdatascience.com/5-minutes-cheat-sheet-explaining-all-machine-learning-models-3fea1cf96f05 | ||
| Deep Learning | |||
| 2013-2018 | Deep Learning | ||
| Neural Network | Book Chapters | Chapter 6-12 | |
| https://www.deeplearningbook.org/ | |||
| Reinforcement | |||
| Learning | Book | https://www.w3schools.com/python/python_exercises.asp | |
| NLP | Stanford | ||
| Youtube | https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ | ||
| https://www.youtube.com/watch?v=7eh4d6sabA0 | |||
| RL | |||
| from DeepMind | Youtube series | https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm | |
| Graph NN | |||
| Federated Learning | |||
| 2018+ | Efficient Transformers | Survey | https://arxiv.org/pdf/2009.06732.pdf |
| Diffusion Models | Survey | https://arxiv.org/pdf/2209.00796.pdf | |
| Large Language Models |
| Topic | Details | Type | Source |
|---|---|---|---|
| Frameworks | Tensorflow | Tutorials | https://www.tensorflow.org/tutorials |
| Pytorch | Tutorials | https://pytorch.org/tutorials/ | |
| Kaggle | Competitions | https://www.kaggle.com/competitions | |
| Colab | Free Jupyter Notebook | https://colab.research.google.com/ | |
| ML on GCP | Youtube | https://www.youtube.com/watch?v=f-Ly6qMETDY | |
| HuggingFace | Model Repo | https://huggingface.co/models | |