參考:JMLR的paper<an introduction to variable and feature selection> we summarize the steps that may be taken to solve a feature selection problem in a check list: 1. Do you have domain knowledge? If yes, construct a better set of "ad hoc" fea…

参考: Floodlight安装 SDNLAB Floodlight官网 Installation Guide 问题: 在follow安装教程安装Floodlight的过程中,ant编译时出现了: [taskdef] Could not load definitions from resource tasks.properties. It could not be found. 这个问题,导致floodlight执行失败. 解决办法: 官方网站给出了答案,需要将java升级到java8: If…

Let's say we have two strings: str1 = 'ACDEB' str2 = 'AEBC' We need to find the longest common subsequence, which in this case should be 'AEB'. Using dynamic programming, we want to compare by char not by whole words. we need memo to keep tracking th…

原文:http://www.jianshu.com/p/94516a58314d Dataset transformations| 数据转换 Combining estimators|组合学习器 Feature extration|特征提取 Preprocessing data|数据预处理 1 Dataset transformations scikit-learn provides a library of transformers, which may clean (see Preproce…

6 Easy Steps to Learn Naive Bayes Algorithm (with code in Python) Introduction Here’s a situation you’ve got into: You are working on a classification problem and you have generated your set of hypothesis, created features and discussed the importanc…

C - 3 Steps Time limit : 2sec / Memory limit : 256MB Score : 500 points Problem Statement Rng has a connected undirected graph with N vertices. Currently, there are M edges in the graph, and the i-th edge connects Vertices Ai and Bi. Rng will add new…

[it-ebooks]电子书列表   [2014]: Learning Objective-C by Developing iPhone Games || Leverage Xcode and Objective-C to develop iPhone games http://it-ebooks.info/book/3544/Learning Web App Development || Build Quickly with Proven JavaScript Techniques http:…

Deep Learning in a Nutshell: History and Training This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs. The first part in this series provided an…

Let's make a DQN 系列 Let's make a DQN: Theory September 27, 2016DQN This article is part of series Let's make a DQN. 1. Theory2. Implementation3. Debugging4. Full DQN5. Double DQN and Prioritized experience replay (available soon) Introduction In Febr…

Common Pitfalls In Machine Learning Projects In a recent presentation, Ben Hamner described the common pitfalls in machine learning projects he and his colleagues have observed during competitions on Kaggle. The talk was titled "Machine Learning Grem…