资源列表
MyMediaLiteJava
- 推荐系统的源代码，具有当今最新的推荐算法实现，有众多应用。比如作为插件应用于开源数据挖掘工具RapidMiner中。-Source code for recommendation systems, with state-of-the-art algorithms for recommendation and widely applicable. It can be used as plugin in the open source data mining tool RapidMiner.
Pattern-Recognition
- 模式识别经典中文书籍，介绍模式识别的理论和算法，适用于初学者和研究生-Pattern Recognition classic Chinese books about pattern recognition theory and algorithms, suitable for beginners and graduate students
AI
- 这是河海大学人工智能课程的课件,很有用,是邹老师的法宝.-This is artificial intelligence courses courseware Hohai University, useful, Zou teacher of magic.
Statistics
- 统计学习方法，站在数学的角度分析机器学习、人工智能算法-Statistical learning methods, from the perspective of mathematical analysis of machine learning, artificial intelligence algorithms
statistical-learning-methods-
- 经典的书，李航讲的统计学习方法，里面主要涉及监督学习方法，感知机、K邻近法、决策树、支持向量机等-Classic book, statistical learning methods Li Hang speak, which is mainly involved in supervised learning method, Perceptron, K neighboring France, decision trees, support vector machine
vip52pe
- visual prolog，是人工智能编程用的软件-This program is useful and good
2012.李航.统计学习方法
- 机器学习算法，介绍各种机器学习算法，理论公式推导等等(Machine Learning Algorithms, Introduction to Various Machine Learning Algorithms, Derivation of Theoretical Formulas, and More)
caffe-master
- windows下可以使用的caffe框架，错误较少可以快速安装使用(The caffe framework that can be used under windows, fewer errors can be quickly installed and used)
a-star-pathfinder-v.-1.92
- a star pathfinder v. 1.92，高效的A*寻路，一个外国牛人写的，可以编译直接运行-A star Pathfinder v., 1.92, A* pathfinding, a foreign expert to write, can be compiled to run directly
李航_统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(The statistical learning method is an important subject in the field of computer and its application.)
统计学习方法
- 李航老师的统计学习方法，适合机器学习入门，是一本很好的教程(a book for people who interest in machine learning, it will help you a lot)
Python核心编程 第3版 中文版.pdf
- python经典书籍，非常不错的入门教程(Python classic books, very good introductory tutorials)