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…

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,       …

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…

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…

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…

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…

8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset by Jason Brownlee on August 19, 2015 in Machine Learning Process Has this happened to you? You are working on your dataset. You create a classification model and get 90% accuracy…