Machine Learning List

Overview | 概论

• 白话解释机器学习基本概念

• 2017-机器学习理论篇 1：机器学习的数学基础：机器学习的特点就是：以计算机为工具和平台，以数据为研究对象，以学习方法为中心；是概率论、线性代数、数值计算、信息论、最优化理论和计算机科学等多个领域的交叉学科。所以本文就先介绍一下机器学习涉及到的一些最常用的的数学知识。

• Visual Intro To Machine Learning: 图解如何基于决策树对于纽约与 San Francisco 的房产进行分类

• A Gentle Guide to Machine Learning

• Machine Learning basics for a newbie

• What is machine learning, and how does it work?

• 学术丨周志华：机器学习有这两大派别，新人入门别跟错队

• Machine Learning: An In-Depth Guide #Series#: Overview, Goals, Learning Types, and Algorithms、Data selection, preparation, and modeling、Model evaluation, validation, complexity, and improvement、Model performance and error analysis、Unsupervised learning, related fields, and machine learning in practice

• Machine Learning Mindmap / Cheatsheet: A Mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

• How To Become A Machine Learning Engineer: Learning Path: We will walk you through all the aspects of machine learning from simple linear regressions to the latest neural networks, and you will learn not only how to use them but also how to build them from scratch.

• State-of-the-art result for all Machine Learning Problems: This repository provides state-of-the-art (SoTA) results for all machine learning problems.

Algorithms | 算法

• 10 Machine Learning Algorithms Explained to an ‘Army Soldier’

• Top 10 data mining algorithms in plain English

• 10 Machine Learning Terms Explained in Simple English

• A Tour of Machine Learning Algorithms

• The 10 Algorithms Machine Learning Engineers Need to Know

• Comparing supervised learning algorithms

• Categories of Machine Learning Algorithms

Tutorial

RoadMap

• 2023-God-Level Data Science ML Full Stack: This roadmap contains 16 Chapters that can be completed in 8 months, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science.

算法与实现

• Fundamental Tools for Machine Learning

• MLAlgorithms:Minimal and clean examples of machine learning algorithms

• data-science-ipython-notebooks: 一系列基于 IPython 的数据科学代码展示

• The Open Source Data Science Masters

• ML-From-Scratch: Bare bones Python implementations of various Machine Learning models and algorithms.

• 机器学习算法比较