Bayesian Methods For Ml Alternatives
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine Learning Specialization Coursera | 2,082 | a year ago | 16 | mit | Jupyter Notebook | |||||
| Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG | ||||||||||
| Robotics Coursework | 1,762 | 4 years ago | 5 | unlicense | ||||||
| 🤖 Places where you can learn robotics (and stuff like that) online 🤖 | ||||||||||
| University Of California San Diego Big Data Specialization | 153 | 3 years ago | 14 | Jupyter Notebook | ||||||
| Repository for the Big Data Specialization from University of California San Diego on Coursera | ||||||||||
| Bayesian Methods For Ml | 99 | 5 years ago | Jupyter Notebook | |||||||
| Materials for "Bayesian Methods for Machine Learning" Coursera MOOC | ||||||||||
| Rust Algs4 | 49 | 10 years ago | 7 | October 20, 2015 | 2 | mit | Rust | |||
| Algorithms, 4th Edition. Coursera MOOC. in Rust. | ||||||||||
| Awesomecscourses | 40 | 3 years ago | ||||||||
| 国内外优秀的计算机软件专业在线课程推荐 | ||||||||||
| Machine Learning For Software Engineers Zh Tw | 33 | 6 years ago | mit | |||||||
| 📖 machine-learning-for-software-engineers 繁體中文翻譯計畫。原作者：https://github.com/ZuzooVn/machine-learning-for-software-engineers | ||||||||||
| Graph_sourcecode_analysis | 21 | 10 years ago | 1 | Python | ||||||
| Initially this way my assignment project for coursera MOOC "Social Network Analysis". It shows an example of graph based Software Visualization and Analysis | ||||||||||
| Machine Learning Coursera | 15 | 8 years ago | Matlab | |||||||
| Stanford Machine Learning MOOC from Coursera by Andrew Ng. | ||||||||||
| Course List | 12 | 3 years ago | mit | |||||||
| A comprehensive ist of all courses I have taken and successfully completed in University 🎓, Coursera 📗, Udemy etc. | ||||||||||
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