##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…
from:http://analyticsbot.ml/2016/10/machine-learning-pre-processing-features/ Machine Learning : Pre-processing features October 21, 2016 I am participating in this Kaggle competition. It is a prediction problem contest. The problem statement is: How…
Machine Learning Algorithms Linear Regression and Gradient Descent Local Weighted Regression Algorithm Logistic Regression Generative Model vs Discriminative Model Naive Bayes and Laplace Smoothing k-Nearest Neighbors Algorithm Decision Tree Algorith…
ON THE EVOLUTION OF MACHINE LEARNING: FROM LINEAR MODELS TO NEURAL NETWORKS We recently interviewed Reza Zadeh (@Reza_Zadeh). Reza is a Consulting Professor in the Institute for Computational and Mathematical Engineering at Stanford University and a…
转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料 <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最…
原文:http://googleresearch.blogspot.jp/2010/04/lessons-learned-developing-practical.html Lessons learned developing a practical large scale machine learning system Tuesday, April 06, 2010 Posted by Simon Tong, Google Research When faced with a hard pre…
https://rubygarage.org/blog/machine-learning-in-fintech Machine learning (ML) has moved from the periphery to the very center of the technology boom. But which industry is best positioned - with the huge data sets and resources - to take advantage of…
<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从1940年开始讲起,到60-80…
Recently, I am studying Maching Learning which is our course. My English is not good but this course use English all, and so I use English to record my studying notes. And our teacher is Dr.Deng Cai and reference book is Pattern Classfication. This i…
7 Machine Learning System Design Content 7 Machine Learning System Design 7.1 Prioritizing What to Work On 7.2 Error Analysis 7.3 Error Metrics for Skewed Classed 7.3.1 Precision/Recall 7.3.2 Trading off precision and recall: F1 Score 7.4 Data for ma…
Graph-powered Machine Learning at Google Thursday, October 06, 2016 Posted by Sujith Ravi, Staff Research Scientist, Google ResearchRecently, there have been significant advances in Machine Learning that enable computer systems to solve compl…
绘制了一张导图,有不对的地方欢迎指正: 下载地址 机器学习中,特征是很关键的.其中包括,特征的提取和特征的选择.他们是降维的两种方法,但又有所不同: 特征抽取(Feature Extraction):Creatting a subset of new features by combinations of the exsiting features.也就是说,特征抽取后的新特征是原来特征的一个映射. 特征选择(Feature Selection):choosing a subset of all…
What: 就是将统计学算法作为理论,计算机作为工具,解决问题.statistic Algorithm. How: 如何成为菜鸟一枚? http://www.quora.com/How-can-a-beginner-train-for-machine-learning-contests 链接内容总结: "学习任何一门学科,framework是必不可少的东西.没有framework的东西,那是研究." -- Jason Hawk One thing is for sure; you ca…
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…
Practical Machine Learning For The Uninitiated Last fall when I took on ShippingEasy's machine learning problem, I had no practical experience in the field. Getting such a task put on my plate was somewhat terrifying, and even more so as we started t…
Machine Learning Methods: Decision trees and forests This post contains our crib notes on the basics of decision trees and forests. We first discuss the construction of individual trees, and then introduce random and boosted forests. We also discuss…
from: http://www.erogol.com/broad-view-machine-learning-libraries/ http://www.slideshare.net/VincenzoLomonaco/deep-learning-libraries-and-rst-experiments-with-theano FEBRUARY 6, 2014 EREN 1 COMMENT Especially, with the advent of many different and in…
Logistic regression is a method for classifying data into discrete outcomes. For example, we might use logistic regression to classify an email as spam or not spam. In this module, we introduce the notion of classification, the cost function for logi…
Machine Learning – Coursera Octave for Microsoft Windows GNU Octave官网 GNU Octave帮助文档 (有900页的pdf版本) Octave 4.0.0 安装 win7(文库) Octave学习笔记(文库) octave入门(文库) WIN7 64位系统安装JDK并配置环境变量(总是显示没有安装Java) MathWorks This week we're covering linear regression with mul…
A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning by Jason Brownlee on September 9, 2016 in XGBoost 0 0 0 0 Gradient boosting is one of the most powerful techniques for building predictive models. In this post you will d…
Teaching Your Computer To Play Super Mario Bros. – A Fork of the Google DeepMind Atari Machine Learning Project Posted by ehrenbrav on August 25, 2016Leave a comment (14)Go to comments For those who want to get right to the good stuff, the installa…
Machine Learning Done Wrong Statistical modeling is a lot like engineering. In engineering, there are various ways to build a key-value storage, and each design makes a different set of assumptions about the usage pattern. In statistical modeling, th…
Machine Learning for Developers Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learnin…
