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A Little Light Reading

stevefarrstevefarr Member Posts: 93 Maven
edited November 2018 in Knowledge Base

An Introduction to Data Science

   Jeffrey Stanton, 2013

School of Data Handbook

   School of Data, 2015

Data Jujitsu: The Art of Turning Data into Product

   DJ Patil, 2012

The Data Science Handbook

   Carl Shan, Henry Wang, William Chen, & Max Song, 2015

The Data Analytics Handbook

   Brian Liou, Tristan Tao, & Declan Shener, 2015

Data Driven: Creating a Data Culture

   Hilary Mason & DJ Patil, 2015

Building Data Science Teams

   DJ Patil, 2011

Understanding the Chief Data Officer

   Julie Steele, 2015

The Elements of Data Analytic Style

   Jeff Leek, 2015

Hadoop: The Definitive Guide

   Tom White, 2011

Data-Intensive Text Processing with MapReduce

   Jimmy Lin & Chris Dyer, 2010

Learn SQL The Hard Way

   Zed. A. Shaw, 2010

SQL Tutorial 

   Tutorials Point

Introduction to Machine Learning 

   Amnon Shashua, 2008

Machine Learning

   Abdelhamid Mellouk & Abdennacer Chebira, 450

Machine Learning – The Complete Guide

   Wikipedia

Social Media Mining An Introduction

   Reza Zafarani, Mohammad Ali Abbasi, & Huan Liu, 2014

Data Mining: Practical Machine Learning Tools and Techniques

Ian H. Witten & Eibe Frank, 2005

Mining of Massive Datasets

Jure Leskovec, Anand Rajaraman, & Jeff Ullman, 2014

A Programmer’s Guide to Data Mining

Ron Zacharski, 2015

Probabilistic Programming & Bayesian Methods for Hackers

Cam Davidson-Pilon, 2015

Data Mining Techniques For Marketing, Sales, and Customer Relationship Management

Michael J.A. Berry & Gordon S. Linoff, 2004

Inductive Logic Programming: Techniques and Applications

Nada Lavrac & Saso Dzeroski, 1994

Pattern Recognition and Machine Learning

Christopher M. Bishop, 2006

Machine Learning, Neural and Statistical Classification

D. Michie, D.J. Spiegelhalter, & C.C. Taylor, 1999

Information Theory, Inference, and Learning Algorithms

David J.C. MacKay, 2005

Bayesian Reasoning and Machine Learning

David Barber, 2014

Gaussian Processes for Machine Learning

C. E. Rasmussen & C. K. I. Williams, 2006

Reinforcement Learning: An Introduction

Richard S. Sutton & Andrew G. Barto, 2012

Algorithms for Reinforcement Learning

Csaba Szepesvari , 2009

Big Data, Data Mining, and Machine Learning

Jared Dean, 2014

Modeling With Data

Ben Klemens, 2008

Deep Learning

Yoshua Bengio, Ian J. Goodfellow, & Aaron Courville, 2015

Neural Networks and Deep Learning

Michael Nielsen, 2015

Data Mining and Analysis: Fundamental Concepts and Algorithms

Mohammed J. Zaki & Wagner Meira Jr., 2014

Theory and Applications for Advanced Text Mining

Shigeaki Sakurai, 2012

Think Stats: Exploratory Data Analysis in Python

Allen B. Downey, 2014

Think Bayes: Bayesian Statistics Made Simple

Allen B. Downey, 2012

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, & Jerome Friedman, 2008

A First Course in Design and Analysis of Experiments

Gary W. Oehlert, 2010

D3 Tips and Tricks

Malcolm Maclean, 2015

Interactive Data Visualization for the Web

Scott Murray, 2013

Disruptive Possibilities: How Big Data Changes Everything [Buy on Amazon]

Jeffrey Needham, 2013

Real-Time Big Data Analytics: Emerging Architecture

Mike Barlow, 2013

Big Data Now: 2012 Edition

O’Reilly Media, Inc., 2012

Computer Vision [Buy on Amazon]

Richard Szeliski, 2010

Concise Computer Vision [Buy on Amazon]

Reinhard Klette, 2010

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