Machine Learning Notes

Machine-Learning-Notes (Loading pictures is slow, please wait patiently, only part of it is displayed)

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• Zhou Zhihua's "Machine Learning" hand-pushed notes (learn and deduce the formulas in a down-to-earth manner)

• by [Computer Vision Alliance] Wang Bo Kings, Sophia

Chapter 16 of the hand-pushed notebook has 214 pages on A4 paper and can be printed directly! !

Last updated: 2021/03/13 Updated to complete Chapter 16

The public account [Computer Vision Alliance] replies to [Xigua Shu Hand-Push Notes] to get the Baidu Cloud pdf download link

Please continue to pay attention to another important note in the future: Deep Learning Hand Push Notes

Table of Contents

• Chapter 1 Introduction
• Chapter 2 Model Evaluation and Selection
• Chapter 3 Linear Model
• Chapter 4 Decision Tree
• Chapter 5 Neural Network
• Chapter 6 Support Vector Machine
• Chapter 7 Bayesian Classifier
• Chapter 8 Integrated Information
• Chapter 9 Clustering
• Chapter 10 Dimensionality Reduction and Metric Learning
• Chapter 11 Feature Selection and Sparse Learning
• Chapter 12 Computational Learning Theory
• Chapter 13 Semi-supervised Learning
• Chapter 14 Probabilistic Graphical Model
• Chapter 15 Rule Learning
• Chapter 16 Reinforcement Learning

Introduction to the author of Push Notes--Wang Bo Kings

WeChat ID (Kingsplusa) Remarks: Unit/school + research direction

Dr. 985AI, CSDN blog expert, Huawei Cloud Sharing expert

Serialized series "Machine Learning" Xigua Shu hand-pushed notes

Completed notes to be updated: "Deep Learning - Huashu Hand Push Notes", "Unmanned Driving Hand Push Notes", "SLAM Fourteen Lectures"

Download address	Doctor’s private WeChat
[Computer Vision Alliance] Reply to [Xigua Shu Hand-pushed Notes] to get the Baidu Cloud pdf download link	Dr. 985AI, CSDN blog expert

Chapter 1 Introduction

Chapter 2 Model Evaluation and Selection

1	2	3	4
	--by 王博Kings

Chapter 3 Linear Model

1	2	3	4
		--by 王博Kings

Chapter 4 Decision Tree

1	2	3	4
			--by 王博Kings

Chapter 5 Neural Network

1	2	3	4
			--by 王博Kings

Chapter 6 Support Vector Machine

1	2	3	4

Chapter 7 Bayesian Classifier

1	2	3	4
			--by 王博Kings

Chapter 8 Integrated Information

1	2	3	4

Chapter 9 Clustering

1	2	3	4

Chapter 10 Dimensionality Reduction and Metric Learning

1	2	3	4
			--by 王博Kings