搜索资源列表
Programming-Collective-Intelligence
- 《集体智慧编程》由美国计算机专家西格兰编著,以机器学习与计算统计为主题背景,专门讲述如何挖掘和分析Web上的数据和资源,如何分析用户体验、市场营销、个人品味等诸多信息,并得出有用的结论,通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息,以便创造新的用户价值和商业价值。-" Programming Collective Intelligence" by American computer experts Xige Lan compiled to machine l
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.
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.
machine-learning
- 这是模式识别与机器学习的中文版,主要讲解机器学习的相关内容。 - This is the Chinese pattern recognition and machine learning, covers the relevant contents of the machine learning.
Handbook.Of.Research.On.Machine
- 主要讲述机器学习的应用与趋势,包括机器学习的算法,理论算法和新技术,并用实例分析解决现实问题。-Focuses on the application of machine learning and trends, including machine learning algorithms, theory of algorithms and new technologies, and use examples to analyze and solve practical problems.
machine-learning
- 机器学习经典的入门丛书,讲解机器学习经典的算法等-Machine learning classic introductory books to explain the classical machine learning algorithms
Machine-Learning
- 机器学习的讲义和作业,包括了SVM、隐氏马尔科夫和朴素贝叶斯等方法,非常适合初学机器学习的人!-Machine learning lectures and assignments, including SVM, Hidden Markov and Naï ve Bayes methods, machine learning is ideal for beginners!
Geometry-of-the-EM-
- 本文为对最大期望算法的一个介绍,从解析几何角度分析了算法的特性和几何意义,对从事机器学习的人有较大参考价值。-An excellent introduction for Expectation Maximum algorithm. In this paper, a geometric view of the EM algorithm is given, which might be
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
Wavelet-for-Music-Signal-Analysis
- 小波分析用于音乐数据的分类,机器学习算法。好东东,重量级论文。-Tutorial_Wavelet for Music Signal Analysis _1
ng-machine-learning
- andrew ng 的机器学习笔记,很好-ng machine learning study note
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
machine-learning-in-action
- 机器学习实战书,包括代码讲解,主要用python-Machine learning in action by python
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
firstcoursemldata.tar
- 根据我的理解,机器学习是数据挖掘中的一种重要工具。然则数据挖掘不仅仅要研究、拓展、应用一些机器学习方法,还要通过许多非机器学习技术解决数据仓储-Recommended BooksHere is a list of books which I have read and feel it is worth recommending to friends who are interest
MACHINE-LEARNING
- 研究生学习必读的课程,机器学习导论,国外大牛elth著-machine learning
gpml
- 高斯过程在机器学习中的应用,非常经典的一本书-gaussian processes and machine learning