搜索资源列表
ml
- 《机器学习的数学领域》 机器学习领域的数学基础 -" Machine learning mathematics" field of machine learning mathematics
MachineLearning
- 机器学习的十大算法，AdaBoost，Apriori，CART，EM，K-means，kNN，PageRank，SVM-Ten machine learning algorithms, AdaBoost, Apriori, CART, EM, K-means, kNN, PageRank, SVM
svn
- 一种经典的机器学习分类算法。适用于样本相对较少的情况。-A classical machine learning classifying algorithm. It applies to few-specimen condition.
zhuangtaiji
- 状态机学习资料，内容以PDF格式展现，图文并茂，通俗易懂。-State machine learning materials, the content in PDF format show, illustrations, easy to understand.
Lecture2_Xing
- CMU大学Eric Xing的关于机器学习的英文ppt资料。-English ppt about machine learning from Eric Xing,CMU.
jiqixuexikecheng
- 这是斯坦福大学公开课讲的机器学习课件，适合初学者学习。-This is the open class at Stanford University talked about machine learning courseware, suitable for beginners to learn.
Tengfei-Shen
- As significant work was done in machine learning in past two decades, we have limited to recent articles in machine learning. A brief review of machine learning and its application can found in [Duttion and Conroy,1996). The most common supervised le
AOSOLogitBoost_
- ensemble machine learning technique that uses logiboot. ensemble was proved to be of better accuracy than other methods
Lecture
- This fill is about machine learning. It includes the ppt and word version in for the machine learning lecture used in one university of USA.
does-ML-really-work-TOM-MITCHELL
- Does machine learning really work? Yes. Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value. Machine-learning algorithms have now learned to detect credit car
Optimizing-Spatial-Filters-for-Robust-EEG-Single-
- ue to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio.
ns2-miraalgo.tcl.tar
- Margin Infused Relaxed Algorithm is a machine learning algorithm, an online algorithm for multiclass classification problems. It is designed to learn a set of parameters
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传
baysian_2
- In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong (naive) independence assumptions between the features.-In machine learning, naive Bayes classifiers are a family
Big-data-analysis
- 大数据分析与机器学习 实战案例讲解,提供了良好的设计方案-Big data analysis and machine learning to explain the actual cases, providing a well-designed program
Data-Mining-and-Machine-Learning
- A handbook of data mining
A-Few-Useful-Things-to-Know-about-Machine-Learnin
- some thing maybe usefull about learning machine
Machine-Vision
- 这是个人总结的机器视觉有光的学习资料，相信能对初学者有很大的帮助-This is a personal summary of learning materials for machine vision light, I believe can be a great help for beginners
firstcoursemlcode.tar
- 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-Recommended BooksHere is a list of books which I have read and feel it is worth recommending to friends who are interest
svmClassic-explain
- 支持向量机详细经典讲解 讲的很详细 对支持向量机的学习很有帮助-Support Vector Machines detailed explanation is more telling classic support vector machine learning helpful