搜索资源列表
logRegres
- 机器学习中的逻辑回归代码，含两个数据集，用python实现(logistic regression code in machine learning,including two datasets)
Python机器学习实战
- python的入门程序，较多例子，值得学习，愿对你有所帮助(Python's introductory program, more examples)
machine learning-matlab
- 机器学习是一门强大的语言，可以拟合、仿真、预测 各类数据之间的非线性映射，并揭示彼此间的联系(Machine learning is a powerful language that can fit, simulate, and predict the nonlinear mapping of various data and reveal the relationship between each other.)
1天搞懂深度学习
- 1天搞懂深度学习 深入浅出理论知识，快速掌握当前火热的人工智能理论(1 days get deep learning in theoretical knowledge, master the theory of artificial intelligence the current hot fast)
MachineLearning-master
- 有关于机器学习的各方面知识，有具体的数据编程(There are all aspects of machine learning and specific data programming)
MLBook source code
- 机器学习的一些源码，包括KNN，k邻近，RNN神经网络等一些代码，参考书目周志华机器学习(Some source code for machine learning)
深度学习
- 深度学习概念、基本模型介绍、机器学习基础、深度前馈网络(An introduction to the concept of deep learning and the basic model)
162502_57d271ded1bf1
- 机器学习课程 简单的课件 适合入门学习 啦啦啦啦啦啦啦啦啦啦啦啦啦啦啦啦啦啦啦啦(Machine learning course)
Andrew Ng-吴恩达
- 斯坦福大学的“Stanford Engineering Everywhere ”免费提供学校里最受欢迎的工科课程，给全世界的学生和教育工作者。本文档为机器学习课程的课件及课后习题与答案，新手上路杠杠的。(The "Stanford Engineering Everywhere" of the Stanford University offers the most popular engineering courses in schools for students and e
斯坦福大学-深度学习基础教程
- 斯坦福大学的深度学习，基础教程。ps:要求先学完吴恩达的机器学习基础再来看，不然看不懂(Depth study of Stanford University, basic course. Ps: needs to learn the basis of Wu Enda's machine learning first, or you can't understand it.)
Machine-Learning-Toolkit-Examples
- 包含labview机器学习工具包中的所有实例(Machine Learning Toolkit Examples)
MLInActionCode-master
- 机器学习实战的源代码集合，第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具(Machine learning combat source code collection
机器学习笔记
- 机器学习网上整理的笔记资料，参考视频为斯坦福吴恩达教授machine learning 视频(Machine learning online collation notes information, the reference video is machine learning taught by Andrew Ng of stanford)
Chapter_1
- 《 机器学习及实践:从零开始通往Kaggle竞赛之路》源码，Chapter_1.ipynb("Machine learning and practice: the road from zero to Kaggle competition" source code, Chapter_1.ipynb)
BreastCancer
- Java实现机器学习经典分类算法，代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
PRML
- Pattern Recognition and Machine Learning(模式识别和机器学习)，是人工智能界非常出名的作品，本资料含英文版与中文版，是学习人工智能极好的参考资料。(Pattern Recognition and Machine Learning is a very famous work in the artificial intelligence community. This material contains English and Chinese versions
mnist
- 手写数字识别。通过各种数字图片进行机器识别，属于机器学习入门级别编程。(Handwritten digit recognition. The machine is recognized by various digital pictures, which belongs to the introduction level programming of machine learning.)
BuildNumDataSet
- 手动框选图片区域，标记，保存 用于协助建立用于机器学习的数据(Manually box image area, mark and save)
Machine_learning
- 源码，机器学习,共十章，经典书籍。。。。(python Source code, machine learning, a total of ten chapters, classic books)
吴恩达课程讲义_中文版
- 吴恩达的机器学习课程中文讲义，对于机器学习的初学者很有帮助。(Andrew Y. Ng's Chinese lecture on the course of machine learning is very helpful for the beginners of machine learning)