搜索资源列表
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)
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)
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.)
斯坦福大学机器学习课程个人学习笔记（上）
- 机器学习很好的资料，对于任何专业的学生都适用(Machine learning very good information for any professional students are applicable)
OpenCV官方教程中文版（For Python）
- 图形识别，机器学习，数字识别，python学习(Graph recognition, machine learning, digit recognition, python learning)
BIRCH算法
- 机器学习用分类的一种算法，用C语言实现，比较成熟的一种算法的。(An algorithm for classification of machine learning, implemented in C language)
science_competion_net
- 不错的机器学习实战案例，可以直接运行出结果。(Good machine learning actual cases, you can directly run the results.)