Resources for Data Analytics
This reading list contains books that are available in the ICICS/CS Reading Room. For more resources, please check the ICICS/CS Reading Room catalogue.
Data Science, Machine Learning & Statistics
- Bayesian data analysis. 3rd ed. / Gelman, Carlin, Stern, Dunson, Vehtari, Rubin
QA 279.5 G45 2014 - Bayesian methods for hackers : probabilistic programming and bayesian inference / Davidson-Pilon
QA 76.9 A25 D376 2015 - Bayesian reasoning and machine learning / Barber
QA 267 B347 2012 (also available on Kindle & Kobo) - Beautiful data : the stories behind elegant data solutions / Segaran, Hammerbacher, eds.
QA 76.9 D26 B428 2009 - Big data : principles and best practices of scalable real-time data systems / Marz, Warren
QA 76.9 D32 M379 2015 (also on Kindle & Kobo) - Computer age statistical inference : algorithms, evidence, and data science / Efron, Hastie
QA 276.4 E376 2016 - The data science design manual / Steven S. Skiena
QA 276.4 S554 2017 - Database management systems. 3rd ed. / Ramakrishnan, Gehrke
QA 76.9 D3 R237 2002 - Doing data science : straight talk from the frontline / Schutt, O'Neil
QA 76.9 D343 S27 2014 (also available on Kindle & Kobo) - The elements of statistical learning : data mining, inference, and prediction. 2nd ed. / Hastie, Tibshirani, Friedman
Q 325.75 H37 2009 - Evaluating Learning Algorithms : A Classification Perspective / Japkowicz, Shah
Q 325.5 J37 2011 - Head first data analysis / Milton
QA 76.9 D343 M48 2009 - Information theory, inference, and learning algorithms / MacKay
Q 360 M23 2003 - Introduction to machine learning with Python : a guide for data scientists / Müller, Guido
QA 76.73 P98 M85 2016 - An introduction to statistical learning : with applications in R / James, Witten, Hastie, Tibshirani
QA 276 I585 2013 - Learning from data : a short course / Abu-Mostafa, Magdon-Ismail, Lin
Q 325.5 A28 2012 - Linear models with R. 2nd ed. / Julian J. Faraway
QA 279 F37 2015 - Machine learning : a probabilistic perspective / Murphy
Q 325.5 M87 2012 - Mining of massive datasets. 2nd ed. / Leskovec, Rajaraman, Ullman
QA 76.9 D343 R35 2014 - Naked statistics : stripping the dread from the data / Wheelan
QA 276 W458 2013 - Pattern classification. 2nd ed. / Duda, Hart, Stork
Q 327 D83 2000 - Pattern recognition and machine learning / Bishop
Q 327 B57 2006 - Practical statistics for data scientists : 50 essential concepts / Bruce
QA 276.4 B78 2017 - Probabilistic graphical models : principles and techniques / Koller, Friedman
QA 279.5 K65 2009 - Robust statistics : theory and methods / Maronna, Martin, Yohai
QA 276 M348 2006 - Visualization analysis and design / Munzner
QA 76.9 I52 M86 2015
Programming, Tools & Applications
- Applied predictive analytics : principles and techniques for the professional data analyst / Abbott
HD 30.25 A25 2014 - The art of R programming : a tour of statistical software design / Matloff
QA 276.4 M2925 2011 - Communicating data with Tableau / Jones
QA 76.9 I52 J664 2014 - Data structures and algorithms in Python / Goodrich, Tamassia, Goldwasser
QA 76.73 P98 G66 2013 - Getting started with TensorFlow : get up and running with the latest numerical computing library by Google and dive deeper into your data! / Zaccone
Q 325.5 Z33 2016 - Hadoop : the definitive guide. 3rd ed. / White
QA 76.9 D5 W47 2012 - Introducing data science : big data, machine learning, and more, using Python tools / Cielen, Meysman, Ali
QA 76.9 D343 C54 2016 - Introduction to programming in Python : an interdisciplinary approach / Sedgewick, Wayne, Dondero
QA 76.73 P98 S43 2015 (also on Kindle & Kobo) - Learning Python. 5th ed. / Lutz
QA 76.73 P98 L877 2013 - Learning Spark : lightning fast data analysis / Karau, Konwinski, Wendell, Zaharia
QA 76.9 D343 K37 2015 - Practical data science with R / Zumel, Mount
QA 276.45 R3 Z86 2014 (also on Kindle & Kobo) - Python for data analysis / McKinney
QA 76.73 P98 M42 2013 - R for data science : import, tidy, transform, visualize, and model data / Wickham, Grolemund
QA 276.45 R3 W53 2016 - R graphics cookbook / Chang
QA 276.45 R3 C46 2013
Business, Career & Social Aspects
- Algorithms of oppression : how search engines reinforce racism / Noble
ZA 4230 N63 2018 - Antifragile : things that gain from disorder / Taleb
Q 375 T348 2014 - Automate this : how algorithms came to rule our world / Steiner
HG 106 S74 2012 - Big data : a revolution that will transform how we live, work, and think / Mayer-Schönberger, Cukier
QA 76.9 D343 M396 2013 - Data and Goliath : the hidden battles to collect your data and control your world / Schneier
HM 846 S362 2015 - The data science handbook : advice and insights from 25 amazing data scientists / Shan, Wang, Chen, Song
QA 76.9 D343 S53 2015 - Data science interviews exposed : your one stop source for Data Science job interviews / You
HD 38.7 Y92 2015 - Data Scientists at Work / Gutierrez
QA 276.4 G88 2014 - Predictive analytics : the power to predict who will click, buy, lie, or die / Siegel
H 61.4 S54 2016 - Privacy in the age of big data : recognizing threats, defending your rights, and protecting your family / Payton, Claypoole
KF 1262 P39 2014 - Secrets and lies : digital security in a networked world / Schneier
QA 76.9 A25 S352 2015 - The signal and the noise : why most predictions fail but some don't / Silver
CB 158 S54 2012 - Weapons of math destruction : how big data increases inequality and threatens democracy / O'Neil
QA 76.9 B45 O64 2016
Other Resources
- Big Data journal (partially open access)
Free/open access for selected articles. For 'Pay Per View' access to other articles, please contact us. - O'Reilly's free Data EBook Archive
Includes titles such as Going Pro in Data Science, Mapping Big Data and Data Visualization