技術書單整理

算法

1. 算法導論
   Introduction to Algorithms, Second Edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
2. 算法概論
   Algorithms, S. Dasgupta, C. H. Papadimitriou, and U. V. Vazirani
3. Python Algorithms-Mastering Basic Algorithms in the Python Language, Magnus Lie Hetland
4. Data Streams Models and Algorithms, Charu C. Aggarwal

 

Web Data Mining

1. 集體智慧編程
   Programming Collective Intelligence, by Toby Segaran
2. Mining of Massive Datasets, by Anand Rajaraman, Jeffrey D. Ullman
3. Algorithms of the Intelligent Web, by HARALAMBOS MARMANIS DMITRY BABENKO
4. Mining the Social Web, by Matthew A. Russell
5. 21 Recipes for Mining Twitter, by Matthew A. Russell

 

Machine Learning

1. 統計學習方法, by 李航
2. 機器學習實戰
   Machine Learning in Action, by PETER HARRINGTON

 

Hadoop Ecosystem

1. Hadoop: The Definitive Guide, by Tom White
2. Data-Intensive Text Processing with MapReduce, by Jimmy Lin and Chris Dyer
3. Pro Hadoop, by Jason Venner
4. Hadoop in Action, by Chuck Lam
5. Programming Pig, by Alan Gates
6. Mahout in Action, by SEAN OWEN ROBIN ANIL TED DUNNING ELLEN FRIEDMAN

 

NoSQL

1. NoSQL Databases, by Christof Strauch
2. HBase: The Definitive Guide, by Lars George
3. MongoDB: The Definitive Guide, by Kristina Chodorow and Michael Dirolf
4. Cassandra: The Definitive Guide, by Eben Hewitt
5. MongoDB and Python, by Niall O’Higgins
6. Redis Cookbook, by Tiago Macedo and Fred Oliveira

 

統計,R語言

1. R 導論, by W. N. Venables, D. M. Smith
2. R for Beginners, by Emmanuel Paradis, 中文版
3. A Handbook of Statistical Analyses Using R, by Brian S. Everitt Torsten Hothorn
4. Data Mining with R:learning by case studies, by Luis Torgo
5. Statistics with R, by Vincent Zoonekynd
6. Using R for Data Analysis and Graphics, by J H Maindonald

 

Search Engine

1. 深入搜索引擎
   Managing Gigabytes: Compressing and Indexing Documents and Images, by ian H. Witten / Alistair Moffat / Timothy C. Bell
2. Lucene in Action, by Erik Hatcher

 

NLP

1. Natural Language Processing with Python, by Steven Bird, Ewan Klein, and Edward Loper
2. Python Text Processing with NLTK 2.0 Cookbook, by Jacob Perkins

 

Semantic Web

1. A Semantic Web Primer, by Grigoris Antoniou and Frank van Harmelen
2. Programming the Semantic Web, by Toby Segaran, Colin Evans, and Jamie Taylor

 

Web Service

1. On Designing and Deploying Internet-Scale Services, James Hamilton
2. RESTful Web Services, by Leonard Richardson and Sam Ruby

 

編碼-C/C++

1. C專家編程，徐波譯
   Expert C Programming: Deep C Secrets, Peter Van Der Linden
2. 編程精粹-Microsoft 編寫優質無錯C 程序秘訣
   Writing Clean Code-Microsoft Techniques for Developing Bug-free C
   Programs, Steve Maguire
3. C++ Primer, Fourth Edition
   By Stanley B. Lippman, Josée Lajoie, Barbara E. Moo
4. Effective C++ Third Edition
5. 深度探索c++對象模型, 侯捷譯
   Inside the C++ Object Model, By Stanley B. Lippman

 

編碼-Java

1. Java編程思想
   Thinking in Java, by Bruce Eckel
2. Effective Java™, by Joshua Bloch
3. JAVA並發編程實踐
   Java Concurrency in Practice, By Brian Goetz, Tim Peierls, Joshua Bloch, Joseph Bowbeer, David Holmes, Doug Lea
4. Java NIO, by Ron Hitchens
5. Java Reflection in Action, by IRA R. FORMAN, NATE FORMAN

 

編碼-Python

1. Dive into Python
2. Python 核心編程
   Core Python programming, by Wesley J.Chun
3. Python Cookbook, By David Ascher, Alex Martelli, Anna Ravenscroft
4. Python in a Nutshell, By Alex Martelli
5. Twisted Network Programming Essentials, By Abe Fettig

 

編碼-Clojure

1. Programming Clojure, by Stuart Halloway
2. Practical Clojure, by Luke VanderHart, Stuart Sierra
3. Clojure Programming，by Chas Emerick, Brian Carper, and Christophe Grand
4. The Joy of Clojure, by MICHAEL FOGUS, CHRIS HOUSER
5. Clojure in Action, by AMIT RATHORE
6. Common Lisp 高級編程技術
   On Lisp, by Paul Graham

 

編碼-Scala

1. Scala編程
   Programming in Scala, by Martin Odersky, Lex Spoon, Bill Venners
2. Effective Akka, by Jamie Allen
3. Akka Essentials, by Munish K. Gupta