搜索资源列表
machine-learning-ex6
- Andrew Ng Cousera 机器学习支持向量机SVM，源代码以及说明文档。(Andrew Ng Cousera's machine learning SVM source code and document.)
machine-learning-ex7
- Andrew Ng Cousera 机器学习K-means勇于图像压缩 以及主成分分析PCA用在人脸识别，源代码以及说明文档。(Andrew Ng Cousera machine learning , the K-means clustering algorithm and apply it to compress an image. In the second part, you will use principal component analysis to find a low-dime
机器学习_周志华
- 机器学习方面写得比较简单明了的书，适合新手阅读。(Machine learning books written in relatively simple, suitable for beginners to read)
machine-learning-ex1
- 在这个练习中，您将实现线性回归，并看到它在数据上工作。在开始这个编程练习之前，我们强烈建议观看视频讲座，并完成相关主题的复习题。开始锻炼，你将需要下载的启动代码，解压其内容目录到你希望完成练习。如果需要的话，在开始练习之前，使用八度/ matlab中的cd命令改变这个目录。你也可以?ND指示在“环境设置说明”的课程网站安装倍频/ MATLAB。(In this exercise, you will implement linear regression and get to see it wor
Machine-Learning-in-Action-master
- 内附机器学习常用模型的python代码！(Enclosing machine learning commonly used model of Python code!)
Machine Learning in Action with PDF and CODE
- 机器学习经典教程，Machine Learning in Action，高清扫描可编辑pdf以及相应的Python代码。(Machine learning classic tutorial, Machine, Learning, in, Action, high-definition scanning, editable PDF, and the corresponding Python code.)
k-means
- Coursera machine learning ex7 assignment，K-means(Coursera machine learning ex7 assignment)
Final Program after-Chapters
- Simon Haykin的神经网络与机器学习课后习题的MATLAB源程序(Simon Haykin neural network and machine learning after-school exercises MATLAB source program)
MachineLearningMadeEasy_FEX
- machine learning using matlab
deep learning中文版
- 深度学习，中文版，这本书比较详细的讲解了深度学习相关的知识(Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Lear
dlib-master
- networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks (Boost License)
Machine learning an algorithmic perspective
- 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自身的性能(Machine learning (Machine Learning ML) is an interdisciplinary subject, involving probability and statistics, approximation th
Pattern Recognition and Machine Learning
- 机器学习和图像识别，自有资源上传，不是原创(Machine learning and image recognition)
3873OS_Code
- machine learning source code from book
Pattern Recognition and Machine Learning
- 这是机器学习的经典书籍，理论深入，值得研究(This is a classic book of machine learning, in-depth theory, worthy of study)
Machine Learning in Python(2015)
- 机器学习Python教程，见解精髓，适合入门和进阶用，需要较好的编程和数学基础(Machine Learning in Python(2015))
2The Elements of Statistical Learning
- This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a va
machine-learning-ex7
- 吴恩达机器学习课程，第八周作业，详解如何实现PCA以及kmeans(Andrew NG machine learning course, eighth weeks of assignment, detailed how to implement PCA and kmeans)
machine-learning-ex8
- 吴恩达机器学习公开课第九周作业，教你如何用“协同过滤”算法实现电影推荐系统(Andrew NG machine learning open class ninth weeks assignment to teach you how to use the "collaborative filtering" algorithm to implement the movie recommendation system)
HW5
- Distinguishing between handwritten numbers with Machine Learning