best book on exploratory data analysis

The book was written from to, and has been carefully studied for two or three days since. Links to Douban:Http://book.douban.com/subject/1139426/ Abbreviation of matrix67: Data Structure and algorithm analysis (Part 1) Data Structure and algorithm analysis, abbreviat

(0), List.get (1), List.get (2));" Change to "return new Rating (List.get (1), List.get (0), List.get (2));"3.10 SummaryFor non-implied data, Mlib also supports a variant of ALS, which is used in the same way as ALS, except that the model is built using method Als.train (). It is useful for scoring data rather than number of times. For example, if the data set i

Python For Data Analysis study notes-1, pythondataanalysis This section describes how to process a MovieLens 1 Mbit/s dataset. The book introduces this dataset from GroupLens Research (http://www.groupLens.org/node/73), which will jump directly to the very 1 m dataset is also in it. The downloaded and decompressed folder is as follows: All three dat tables are

features, such as zoom and pan. It supports different GUI backend (back ends) under all operating systems, and can output graphics to common vector and graphic formats such as PDF, SVG, JPG, PNG, BMP, and GIF.Scikit-learnScikit-learn is a Python module for machine learning. It builds on scipy and provides a common machine learning algorithm that allows users to use it through a unified interface. Scikit-learn helps you to quickly implement popular algorithms on your

Deep and simple data analysis is one of the "deep and simple" series of American o'reilly press. This series is characterized by a lot of thoughts on how to make readers more comfortable to read and remember more content in the book. Although the book is thick, there are many illustrations. Illustrations and texts are

Http://www.cnblogs.com/batteryhp/p/5006274.htmlPandas is the preferred library for subsequent content in this book. The pandas can meet the following requirements: Data structure with automatic or explicit data alignment by axis. This prevents many common errors caused by data misalignment and

analysis Node.js" time, saw the WebSocket that section, saw the websocket of the data frame definition, want to use NODEJS implementation. After some toss to achieve. The client's code is not said, WebSocket API is very simple, through the OnMessage, OnOpen, OnClose, and send method can be implemented.The WebSocket API implements the client's code through the OnMessage, OnOpen, OnClose, and send methods.

With big data in various industries to take root and flourish, the data can dig gold data analysis staff more and more baby, so many programmers want to switch to data analysis, mining technology which strong? Of course, the R lan

This is the "data how to analyze, data thinking" of the personal reading notes, the recommendation of the book "Website Combat Analysis", the author is Yanping Wang, write the truth, the entire dry, no nonsense.The purpose of data analys