一.UCI Wine dataset:https://archive.ics.uci.edu/ml/datasets/Wine,包含178个样本,每个样本包含13个与酒的化学特性的特征,标签有1,2,3,代表意大利不同地区生长的三种类型的葡萄 Breast Cancer Wisconsin dataset:https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic),包含569个样本,每个样本是良性或者恶…

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…

K-近邻算法虹膜图片识别实战 作者:白宁超 2017年1月3日18:26:33 摘要:随着机器学习和深度学习的热潮,各种图书层出不穷.然而多数是基础理论知识介绍,缺乏实现的深入理解.本系列文章是作者结合视频学习和书籍基础的笔记所得.本系列文章将采用理论结合实践方式编写.首先介绍机器学习和深度学习的范畴,然后介绍关于训练集.测试集等介绍.接着分别介绍机器学习常用算法,分别是监督学习之分类(决策树.临近取样.支持向量机.神经网络算法)监督学习之回归(线性回归.非线性回归)非监督学习(K-means聚…

1. scikit-learn介绍 scikit-learn是Python的一个开源机器学习模块,它建立在NumPy,SciPy和matplotlib模块之上.值得一提的是,scikit-learn最先是由David Cournapeau在2007年发起的一个Google Summer of Code项目,从那时起这个项目就已经拥有很多的贡献者了,而且该项目目前为止也是由一个志愿者团队在维护着. scikit-learn最大的特点就是,为用户提供各种机器学习算法接口,可以让用户简单.高效地进行数…

Machine Learning Algorithms Study Notes 高雪松 @雪松Cedro Microsoft MVP 本系列文章是Andrew Ng 在斯坦福的机器学习课程 CS 229 的学习笔记. Machine Learning Algorithms Study Notes 系列文章介绍 2    Supervised Learning    3 2.1    Perceptron Learning Algorithm (PLA)    3 2.1.1    PLA --…

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…

Why The Golden Age Of Machine Learning is Just Beginning Even though the buzz around neural networks, artificial intelligence, and machine learning has been relatively recent, as many know, there is nothing new about any of these methods. If so many…

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…

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…