Jing--Li / bookLinks
book
☆188Updated last year
Alternatives and similar repositories for book
Users that are interested in book are comparing it to the libraries listed below
Sorting:
- book☆708Updated 2 years ago
- AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics☆57Updated 3 years ago
- Lectures for INFO8002 - Large-scale Data Systems, ULiège☆67Updated 3 years ago
- List of some awesome university courses for Machine Learning! Feel free to contribute!☆138Updated 5 years ago
- ☆90Updated 6 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Mastering TensorFlow 1x, published by Packt☆106Updated 2 years ago
- Code and notes for MIT 6.824 Distributed Systems Class https://pdos.csail.mit.edu/6.824/schedule.html☆19Updated 5 years ago
- Lecture notes and assignments for coursera machine learning class☆95Updated 12 years ago
- Python, so easy, wow!☆139Updated 5 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 5 years ago
- CS 451/651 431/631 Data-Intensive Distribute Computing (Winter 2018) at the University of Waterloo☆75Updated 7 years ago
- Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos☆79Updated 9 years ago
- Implementing Multiple Layer Neural Network from Scratch☆327Updated 9 years ago
- Free deep learning papers☆349Updated 4 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆284Updated 6 years ago
- Implementation of different machine learning techniques☆94Updated 7 years ago
- Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective☆53Updated 8 years ago
- ☆69Updated 6 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 8 years ago
- papers on scalable and efficient machine learning systems☆192Updated 7 years ago
- STATS385 course website☆89Updated 3 years ago
- Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne☆168Updated 7 months ago
- ☆44Updated 7 years ago
- I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my not…☆285Updated 6 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 5 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆312Updated 4 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆549Updated 2 years ago
- Personal and biased selection of ML resources☆151Updated 5 years ago
- Andrew Ng's Coursera ML coding exercises and notes☆123Updated 11 years ago