rasbt/stat479-machine-learning-fs19
quality grade F, 28 out of 100Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
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Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
List of papers studying machine learning through the lens of category theory
ebook Machine Learning cơ bản
🎰 A curated list of machine learning resources, preferably CoreML
Matlab code of machine learning algorithms in book PRML
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
My Machine Learning blog
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
Code accompanying the book "Machine Learning for Hackers"
This is the notes of the way of machine learning study. You may find something useful in it.
This repository consists of all my Machine Learning Projects.
List of all the lessons learned, best practices, and links from my time studying machine learning
Chinese Translation for Machine Learning Infographics
Collection of useful machine learning codes and snippets (originally intended for my personal use)
《机器学习》(西瓜书)代码实战
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
机器学习过程中所看的书,视频和源码
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Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.
常用机器学习的算法简洁实现
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced
Curated list: Resources for machine learning in Ruby
Implementation of popular ML algorithms from scratch
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