12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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Updated
May 12, 2024 - HTML
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
100 Days of ML Coding
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
A complete daily plan for studying to become a machine learning engineer.
The "Python Machine Learning (1st edition)" book code repository and info resource
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
手写实现李航《统计学习方法》书中全部算法
A resource for learning about Machine learning & Deep Learning
Matlab code of machine learning algorithms in book PRML
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Minimal and clean examples of machine learning algorithms implementations
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
💬 Machine Learning Course with Python:
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Plain python implementations of basic machine learning algorithms
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。