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Machine-Learning.pdf
- Machine Learning, 机器学习经典书-Machine Learning， classical book
Machine-Learning-Implementations
- machine learning with matlab
CANTINAP-A-Feature-Rich-Machine-Learning-Framewor
- CANTINA+: A Feature-Rich Machine Learning Framework for Detecting Phishing Web Sites
Machine-Learning
- matlab code for Machine Learning with MATLAB
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
Machine-Learning
- Machine Learning: A Probabilistic Perspective.2012年才出的一本机器学习好书-Machine Learning: A Probabilistic Perspective.A good book just published in 2012.
machine-learning-ex5
- 斯坦福大学机器学习公开课CS229 课程作业5-Stanford University public courses CS229 machine learning coursework 5
machine-learning-ex1
- 斯坦福大学机器学习公开课CS229 课程作业4-Stanford University public courses CS229 machine learning coursework 4
machine-learning-ex2
- 斯坦福大学机器学习公开课CS229 课程作业2-Stanford University public courses CS229 machine learning coursework 2
machine-learning
- 一些关于机器学习初学者可能会遇到的代码训练。分类学习等的代码分享。-some machine learning problems.
Stanford-Machine-Learning
- 斯坦福大学机器学习课程个人学习笔记（下）斯坦福大学机器学习公开课笔记-Stanford machine learning courses personal study notes (below) machine learning open class at Stanford University notes
Machine-learning-demos-
- 所有机器学习方法的集合，功能很全面，效果很赞-All machine learning methods set features a very comprehensive, the effect is praise
machine-learning
- 模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
machine-learning-(2)
- 模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
machine-learning-ex1
- andrew Ng lecture machine learning assignment 课后习题-andrew Ng lecture machine learning assignment
machine-learning-ex2
- andrew Ng lecture machine learning assignment 2 coursera 课后习题 -andrew Ng lecture machine learning assignment
machine-learning-ex1
- coursera上的机器学习课程中的练习题源代码，这是练习一，实现了梯度下降算法，供学习者参考-Machine learning courses coursera exercises on the source code, which is a practice to achieve a gradient descent algorithm for learner reference
machine-learning-ex4
- 斯坦福机器学习编程作业machine-learning-ex4，神经网络模型，Neural Networks Learning题目，满分，2015最新作业答案 matlab代码-Stanford machine learning Programming Exercise 4: machine-learning-ex4
machine-learning-ex5
- 斯坦福大学机器学习第六周，包括第六周的讲义以及作业代码ex5。-machine learning week6 ex5 - Regularized Linear Regression and Bias v.s.Variance
Machine-learning-Knn-Classify-C-Train-Ctest
- Machine Learning C train C Test Assignment Knn Classify