搜索资源列表
Statistical-Learning
- 人工智能的数学基础理论（统计学习），全面介绍了有关数据挖掘、机器学习和模式识别的内容。-Mathematical foundations of artificial intelligence theory (statistical learning), a comprehensive introduction about data mining, machine learning and pattern recognition content.
Large-Scale-Metric-Learning
- 经典机器学习方法Large Scale Metric Learning的matlab代码-Classical machine learning methods Large Scale Metric Learning matlab code
Semi-supervised-learning-NJU
- 半监督学习非常好的一篇文章，机器学习重镇，南京大学写的，希望对大家有所帮助！-Semi-supervised learning is very good article, machine learning center, Nanjing University, write, we want to help!
13Deep-Learning-Tutorial
- 适合机器视觉的深度学习入门讲义，深度学习是机器学习领域现在最热门的领域之一-The deep learning tutorial is suitable to machine vision, which is the most popular area in the machine learning area
A-Convex-Feature-Learning
- 国际顶级会议机器学习中的好文章，推荐给做机器学习的同志-paper in international top conference:ICML, strongly recommend it to those working in machine learning
Semsupervised-learning
- 这是一篇关于半监督的论文，半监督学习问题广泛存在于现实世界中, 已经成为目前机器学习和模式识别领域中的一个研究热点. 文章 综述了半监督学习问题的基本思想、研究现状、常用算法及其一些应用领域, 分析了目前存在的主要困难, 并指出需进一步研究的几个问题.-Sem-i supervised learning has been w idely used in the w orld and become a hot topic in the resear ch field of machine
Neural-Network_Machine-Learning-Course-Stanford.z
- Matab codes for a simple Neural Network, based on Stanford s Machine Learning online course.
Machine-Learning
- 排序学习算法,排序学习算法 排序学习算法-learning to rank algorithoms
Know-about-Machine-Learning
- 一些关于机器学习算法理论与实现的介绍与实现-a useful things about mechine learning algorism and implemention
Computational-learning-theory
- wikipedia机器学习迷你书：《Computational learning theory》（计算学习理论） 比较理论，汇集了统计学习理论，VC理论，PAC学习，稳定性，在线学习与分布式学习等基本概念。顺各条参考文献可更深入学习。-wikipedia machine learning mini book: Computational learning theory (calculated learning theory) comparison theory, a collection o
Statistical-Learning
- 一篇机器学习综述，总结了当前机器学习研究的几个方向，并以统计机器学习为重点梳理了几个核心原则。-A document about Machine Learning, focus on Statistic Learning, including four important principle.
Regression-learning
- 一个回归学习的matlab例程，可以直接运行，具体内容参考图书《视觉机器学习20讲》-A return to learn the Matlab routines, can be run directly, the specific content of reference books < visual machine learning 20
EM-learning
- 一个em学习的matlab例程，可以直接运行，具体内容参考图书《视觉机器学习20讲》-A EM learning matlab routines, you can run directly, the specific content of reference books < visual machine learning 20
machine-learning-ex2-8
- 斯坦福机器学习网上公开课相关编程练习代码，包括线性回归，逻辑回归，神经网络，PCA,SVM等。-the programming code of online course Mechine Learning provided by Stanford.
awesome-machine-learning-master
- this code about mashin learning
machine-learning6-9
- 斯坦福大学机器学习，5到9周课后程序，都自己实验过的，可以运行出结果，对机器学习有帮助！-Stanford Machine Learning, 5-9 weeks after school programs have had their own experiments, you can run the results of machine learning to help!
machine-learning_key_andrew-NG
- 机器学习的核心概念，由著名的专家Andrew NG编写，适合初学者学习。-machine learning key points by Andrew NG，which is the notes of the machine learning lecture.
sick
- 迁移学习 领域适应性 机器学习 学习代码(Transfer learning Domain Adaptation Machine Learning Coding study Inductive Learning Transductive Learning)
深度学习 21天实战Caffe
- 深度学习 21天实战caffe pdf 学习caffe的实用入门书籍(Depth study 21 days of practical combat Caffe PDF learning Caffe practical entry book)
DeepLearning
- 深度学习的matlab实现，带原始数据。算例简洁(deep learning using matlab in machine learning)