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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.)
handson-ml-master
- 这个项目的目的是教你机器学习的基本原理。它包含了Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的示例代码和解决方案。非常好的一本书！(This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in
chapter28
- 机器学习的决策树问题算法matlab实现，有注释和源码(Machine learning decision tree algorithm matlab implementation, with notes and source code)
模式识别与机器学习3贝叶斯决策理论
- 讲述模式识别与机器学习,贝叶斯决策理论的相关知识,(Bayesian decision theory in narrative pattern recognition)
感知器算法证明
- 机器学习中神经网络的感知器算法的相关证明(The proof of perceptron algorithm of neural network in machine learning)
人工神经网络后向传播算法推导
- 机器学习中神经网络的后向传播算法的相关推导(The derivation of backpropagation algorithm for neural networks in machine learning)
NEURAL_NETWORK_CODE
- 机器学习中神经网络的NN网络和CNN网络的MATLAB程序例程(NN neural network in machine learning and CNN network MATLAB routines)
Machine learning an algorithmic perspective
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能(Machine learning (Machine Learning ML) is an interdisciplinary subject, involving probability and statistics, approximation th
1502700551325609
- 用python编写与图片相关的机器学习神经网络，分享一下(nothing but null nothing nothing nothing but null nothing nothing)
Pattern Recognition and Machine Learning
- 机器学习和图像识别，自有资源上传，不是原创(Machine learning and image recognition)
Deep-learning
- 深度学习与机器学习经典之作，欢迎大家下载越读~~~~(Deep learning and machine learning)
tensorflow-master
- 这是机器学习领域一个很重要的框架tensorflow的源码(This is a very important framework for machine learning, the source code of tensorflow)
机器学习实战(Peter Harrington 著)
- K-近邻算法,机器学习第二章节部分第一个程序源码，python3.6可运行(K- nearest neighbor algorithm, machine learning section second chapter, the first program source code, python3.6 can run)
一天搞懂深度学校-李宏毅
- 机器学习初学者入门所用，能快速厘清相关概念(Machine learning beginners access, can quickly clarify the relevant concepts)
ex1
- 斯坦福大学机器学习课程练习一的参考源码，可以直接运行，辅助学习，仅供参考。(A reference source code of Stanford University machine learning course. It can run directly. Aided learning. For reference only.)
《神经网络与机器学习》-课件ppt-课后答案
- 第三版神经网络与机器学习答案 simon(Third edition answer)
e381d800-00cd-11e3-b778-0800200c9a66
- 机器学习的音频指纹识别一个代码，从文件100%识别(the code of the learning)