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1-160521014039
- 就是机器学习的PPT 台湾教授教学的，英文PPT ，很不错(Machine learning PPT, Taiwan professor teaching, English PPT, very good)
深度学习(中英文双版)
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。(The concept of deep learning stems from the study of artificial neural networks. A multilayer perceptron with a hidden layer is a depth learning structure. Depth le
deeplearningbook-chinese-master
- Python机器学习代码示例，包含了全部的书本的代码示例，可以通过jupyter notebook直接运行文件显示结果(Python Machine Learning)
KPCAomit
- 使用kpca方法进行特征提取，用作机器学习的第一步(Use kpca method for feature extraction, as the first step in machine learning)
Machine Learning in Action with PDF and CODE
- 机器学习经典教程，Machine Learning in Action，高清扫描可编辑pdf以及相应的Python代码。(Machine learning classic tutorial, Machine, Learning, in, Action, high-definition scanning, editable PDF, and the corresponding Python code.)
Machine Learning in Action
- 机器学习重点推荐点推荐，学习必杀技点推荐，学习必杀技(machine leaing a probabilistic perspective)
Regression
- 一个简单机器学习的范例,内涵基本数据，初学者必备(Examples of simple machine learning)
face
- 人脸识别程序和算法，应用adboost机器学习算法训练模型(Face recognition procedures and algorithms)
code
- 这是关于Python机器学习的一整套资料(Python machine learning)
Class_2_Code
- 机器学习基础，关于一些矩阵变换、向量化编程、循环体的使用等(Machine learning basis, about some matrix transformation, quantitative programming, the use of cyclical bodies)
datingTestSet2
- 机器学习实战 knn篇约会网站测试数据来源(Machine learning, actual combat, KNN, dating sites, testing, data sources)
hmm机器学习
- HMM(隐马尔科夫模型)是自然语言处理中的一个基本模型，用途比较广泛，如汉语分词、词性标注及语音识别等，在NLP中占有很重要的地位(HMM (hidden Markov model) is a basic model in Natural Language Processing, which is widely used, such as Chinese segmentation, part of speech tagging and speech recognition, and plays
high-speed railway
- 机器学习简介,特别的时候新手查看，受益匪浅。上传于2017年底，简单易懂。(machine learning method. introduced the CNN basic idea and how to use it and when to use it. Very useful for new guys)
ESL
- 机器学习经典书籍，迈向高手必读的进阶类书籍。书中包涵大量理论知识及数学推导（尤其是习题），有助于了解机器学习各种方法背后的本质思想。(Machine learning classic books, advanced books must go to the master. The book contains a large number of theoretical knowledge and mathematical derivation (especially the exercises),
boyilun
- python 代码，机器学习基础学习，算法。(Python code, machine learning, basic learning, algorithms.)
machine learning_ex1_simple
- 第二周的简单机器学习答案。。。。。。。。。。。。。(warmUpExercise.m plotData.m gradientDescent.m computeCost.m For this part of the exercise, you will need to change some parts of the code below for various experiments (e.g., changing learning rates)
scikit-learn-docs
- 学习机器学习的利器，非常适合初学者，书写的十分详细(Learning machine learning tool)
svmMLiA
- svm的简单实现，代码源自《机器学习实战》(a simple model of SVM)
cs229-notes1
- 机器学习入门，斯坦福大学吴恩达教授机器学习视频第一课讲义，全英文。(Introduction to machine learning, Professor Wu Enda, Stanford University, machine learning video lesson 1 lecture notes, all english.)
coursera作业答案 仅供参考
- 机器学习 coursera上第一章，关于linear regression部分的知识和练习答案，供参考(the chapter one of machine learning on the coursera.It is about the knowledge of linear regression and the exercise1.)