In order to record their own spent books, write a summary of the post, not regularly updated. Some of the books I used to forget, just record what I remember:)
PS: Now read the book (2016.4 months later), I will do a reading summary. Before reading the book, will take the time to review, do a simple summary. The book related to data mining I wrote another post, you can refer to this:
"Original" Data analysis/Data mining/machine learning----must-read bibliography
2016.5Spark Advanced data analyticsLearn Scala fastThinking in Java 2016.4Learning Spark (spark fast reading Big data analysis)----reading summary (completed 75%,5.8)Hive Programming Guide 2016.3 (second job)Hadoop authoritative GuideHadoop CombatExploratory Data Analysis 2016.2machine Learning (Zhou Zhihua) 2016.1Pattern recognition and machine learning 2015.12High Performance MySQLStatistical natural Language processing 2015.11R language and website analysisR's Geek ideal toolMySQL must know 2015.10Introduction to Data mining 2015.9Collective Intelligence ProgrammingStatistical Learning Methods 2015.8 (first job)using Python for data analysisMachine Learning Combat 2015.7stupid way to learn PythonPython core Programming 2015.6concept and technology of data miningRecommended System Combat 2015.5Data Mining-R language CombatR Language Programming Art 2015.4 (starting an internship)R language CombatData Analysis-R language Combat 2014 and before I look at the watercress record summary =
Books that I've read