Here is the note for lecture five. There will be several points  1. Training and Testing  Both of these are about data. Training is using the data to get a fine hypothesis, and testing is not. If we get a final hypothesis and want to test it, it turn…

Here is the note for lecture three. the linear model Linear model is a basic and important model in machine learning. 1. input representation     The data we get usually needs some changes, most of them is the input data.      In linear model,       …

Machine Learning and Data Mining Lecture 1 1. The learning problem - Outline     1.1 Example of machine learning Predicting how a viewer will rate a moive? 10% improvement = 1 million dollar prize The essence of machine learning: A pattern exists We…

How do you explain Machine Learning and Data Mining to non Computer Science people?   Pararth Shah, ML Enthusiast Answered Dec 22, 2012 · Featured on VentureBeat · Upvoted by Melissa Dalis, CS & Math major at Duke and Alberto Bietti, PhD student in m…

Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank…

http://www.cs.cmu.edu/~avrim/courses.html Foundations of Data Science Avrim Blum, www.cs.cornell.edu/jeh/bookJan25_2016.pdf…

核心期刊排名查询 http://portal.core.edu.au/conf-ranks/ http://portal.core.edu.au/jnl-ranks/ 1.机器学习推荐会议 ICML——很难读懂,值得一读 NIPS ——主要看文章摘要 ECML 2.数据挖掘推荐会议: ICDE ICDM——略逊 CIKM KDD 3.IR推荐会议 SIGIR WWW 4.NLP推荐会议 ACL EMNLP EAC NNACL coling CCF推荐会议列表 expert system with…

怎样选用正确的特征构造学习算法或者如何选择学习算法中的正则化参数lambda?这些问题我们称之为模型选择问题. 在对于这一问题的讨论中,我们不仅将数据分为:训练集和测试集,而是将数据分为三个数据组:也就是训练集.验证集和测试集.本节将会介绍这些内容的含义,以及如何使用它们进行模型选择.在前面的学习中,我们已经多次接触到过拟合现象.在过拟合的情况中学习算法在适用于训练集时表现非常完美,但这并不代表此时的假设也很完美(如下图). 更普遍地说,过拟合是训练集误差通常不能正确预测出该假设是否能很好地拟合…

https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…

In my last article, I stated that for practitioners (as opposed to theorists), the real prerequisite for machine learning is data analysis, not math. One of the main reasons for making this statement, is that data scientists spend an inordinate amoun…