说明：about machine learning

说明：about machine learning preparation

说明：吴恩达机器学习作业源文件练习4 配套机器学习课程使用

说明：《机器学习》书籍源码及数据，提供大量例程数据和程序源码

说明：Used a sliding window techniques to detect multiple face in images, provides training and testing tool, Yo need to apply Vl_freat directory as in read me.

说明：An easy integral channel features with some updates

说明：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。 它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。

说明：machine learning enceble

说明：python 爬虫实战。爬取JMLR（Journal of Machine Learning Research ）期刊中的所有论文的信息（title， author， abs， url等）。要解析xpath，处理字符编码等。

说明：Machine Learning的R语言源码 供大家交流&学习，谢谢大家

说明：这个是深度学习网络faster-rcnn 网络里vgg16 network code。

说明：ARES Lab Machine learning

说明：machine learning CNN unsupervised

说明：MATLAB Machine learning

说明：数字手写识别，machine-learning-in-java-master

说明：kaggle--入门题，房价预测，常用机器学习算法。

说明：GPA成绩预测，使用常用的几种机器学习算法

说明：Meta-learning 中著名方法 MAML（未知模型元学习法）的代码

说明：关于机器学习相关内容的说明，在matlab平台上实现语音检测器，简单易懂

说明：Data compression and its approach to Machine Learning.

说明：ebook Mathematics for Machine Learning

说明：machine_learning_examples

说明：python code clip raster tif

说明：Pattern Recognition and Machine Learning

说明：MATLAB 机器学习 Machine Learning Author(s): Michael Paluszek, Stephanie Thomas (auth.) 随书代码，本人一个个编写

说明：运用极限学习机实现数据的预测，通过验证发现效果比普通神经网络好

说明：Overview : First of all, I would like to emphasize that I wrote this script for fun, and I don't encourage gambling. In this script, it uses Machine Learning in MATLAB to predict the result of English Premier League (EPL) match. It uses historical data in past season (EPL 2017/2018) for machine learning to train the model for prediction. In this script, I simply select some features as my predictors. They are average points per match, Number of Shoot, Number of Shoot on Target, and the betting odds in the market. The prediction will tell us the result of match (Home-win(H),Draw(D),Away-win(A)) in this season. Eventhought the accuracy of model is not so promising,however, it is really very interesting to explore how to do the prediction of the EPL result by using machine learning. [Note : Not advocating gambling,or any strategy] Highlights : Handling EPL data in excel (Eliminate unwanted data, Rearrange the structure of wanted data)

说明：Particle Swarm Optimization and Backpropagation to Update Neural Network Weights

说明：Ng machine learning ex3