这次突然打算写点dimension reduction的东西, 虽然可以从PCA, manifold learning之类的东西开始, 但很难用那些东西说出好玩的东西. 这次选择的是一个不太出名但很有趣的方法, 随机映射. 但某些地方它一直是被当成LSH方法来介绍的, 关于这点我不想过多追究, 这里我认为他是一个降维. Problem Statement 首先我们来看一个问题, 如果你手头有一组数据$X \in R^n$, 它的维数太高, 从而不得不进行降维至$R^k$, 你会怎么办? 相信不少…

https://jmetzen.github.io/2015-01-29/ml_advice.html Advice for applying Machine Learning This post is based on a tutorial given in a machine learning course at University of Bremen. It summarizes some recommendations on how to get started with machin…

Week1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We alr…

https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning   How do I learn mathematics for machine learning? Promoted by Time Doctor Software for productivity tracking. Time tracking and productivity improvement software with screenshots…

100 Most Popular Machine Learning Video Talks 26971 views, 1:00:45,  Gaussian Process Basics, David MacKay, 8 comments 7799 views, 3:08:32, Introduction to Machine Learning, Iain Murray 16092 views, 1:28:05, Introduction to Support Vector Machines, C…

In this post we take a tour of the most popular machine learning algorithms. It is useful to tour the main algorithms in the field to get a feeling of what methods are available. There are so many algorithms available and it can feel overwhelming whe…

Week 1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We al…

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…

Machine Learning Note Introduction Introduction What is Machine Learning? Two definitions of Machine Learning are offered. Arthur Samuel described it as:"the filed of study that gives computers the ability to learn without being explicitly programmed…

##Advice for Applying Machine Learning Applying machine learning in practice is not always straightforward. In this module, we share best practices for applying machine learning in practice, and discuss the best ways to evaluate performance of the le…