Coursera-Machine-Learning-Stanford
cs229-2018-autumn
Coursera-Machine-Learning-Stanford | cs229-2018-autumn | |
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1 | 112 | |
1,097 | 1,394 | |
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0.0 | 3.5 | |
about 1 year ago | 19 days ago | |
MATLAB | Jupyter Notebook | |
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Coursera-Machine-Learning-Stanford
cs229-2018-autumn
- cs229-2018-autumn: NEW Courses - star count:949.0
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Mathematics courses for machine learning/deep learning.
Definitely check out CS229: https://cs229.stanford.edu/
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Are there any books I should read to learn machine learning from scratch?
For machine learning (not deep learning), I recommend the lecture notes from Stanford's CS229 course. The reason I really like these notes is because you can find past problem sets that went along with them, and the problem sets are very good: difficult but not impossible, and close to a 50/50 mix of math and programming. I never feel like I've learned a topic just from reading about it, so having good problems to go along with the reading was very important to me.
- cs229-2018-autumn: NEW Courses - star count:834.0
What are some alternatives?
FraudDetection - Accounting Fraud Detection Using Machine Learning
cs229-2019-summer - All notes and materials for the CS229: Machine Learning course by Stanford University
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
probability - Probabilistic reasoning and statistical analysis in TensorFlow
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
huggingface_hub - The official Python client for the Huggingface Hub.
Python_Projects
NNfSiX - Neural Networks from Scratch in various programming languages