Machine Learning and Data Mining（机器学习与数据挖掘）

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Machine Learning and Data Mining Lecture 1

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?

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…

Machine Learning and Data Mining（机器学习与数据挖掘）

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…

Note for video Machine Learning and Data Mining——Linear Model

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, …

Note for video Machine Learning and Data Mining——training vs Testing

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…

Machine Learning——吴恩达机器学习笔记（酷

[1] ML Introduction a. supervised learning & unsupervised learning 监督学习:从给定的训练数据集中学习出一个函数(模型参数),当新的数据到来时,可以根据这个函数预测结果.监督学习的训练集要求包括输入输出,也可以说是特征和目标.训练集中的目标是由人标注的.常用于:训练神经网络.决策树.回归分析.统计分类无监督学习:输入数据没有被标记,也没有确定的结果.样本数据类别未知,需要根据样本间的相似性对样本集进行分类,试图使类内差距最小化,…

Machine Learning、Date Mining、IR&NLP 会议期刊论文推荐

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…

Applied Spatiotemporal Data Mining应用时空数据挖掘

Course descriptionWith the continuing advances of geographic information science and geospatialtechnologies, spatially referenced information have been easily and increasinglyavailable in the past decades and becoming important information sources in…

Machine Learning and Data Science 教授大师

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

How do I learn machine learning?

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…