1. Download Big Data Resources
Big Data Resources
| Name | Type | authors | |
|---|---|---|---|
| 1 | Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research | paper | Ritu Agarwal |
| 2 | Challenges and Opportunities with Big Data | paper | Agrawal, Bernstein et al. 2012 |
| 3 | Business Intelligence meets Big Data: An Overview on Security and Privacy | paper | Claudio A. Ardagna and Ernesto Damiani |
| 4 | BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT | paper | Hsinchun Chen, Roger H. L. Chiang, Veda C. Storey |
| 5 | Big Data: A Survey | paper | Min Chen · Shiwen Mao · Yunhao Liu |
| 6 | Toward Big Data Risk Analysis | paper | Ernesto Damiani |
| 7 | Big Data and IS Research | paper | Paulo B. Goes |
| 8 | WHAT IS BIG DATA? | article | Keith Gordon |
| 9 | Big Data, Potential und Barrieren der Nutzung im Unternehmenskontext (in German) | PhD Thesis | Stefanie King |
| 10 | Big Data, new epistemologies and paradigm shifts | paper | Rob Kitchin |
2. Download Data Engineering resources
Data Engineering Resources
| Name | Type | authors | |
|---|---|---|---|
| 1 | Graph Databases | book | Ian Robinson, Jim Webber & Emil Eifrem |
3. Download Data Mining resources
Data Mining Resources
| Name | Type | authors | |
|---|---|---|---|
| 1 | A Practical Guide to Data Mining for Business and Industry | Book | Andrea Ahlemeyer-Stubbe Shirley Coleman |
| 2 | Advanced Data Mining and Applications | book | 13th International Conference, ADMA 2017 Singapore, November 5–6, 2017 |
| 3 | Big Data, Mining, and Analytics | book | Stephan Kudyba |
| 4 | Commercial Data Mining | book | David Nettleton |
| 5 | Data Mining | book | Ian H. Witten Eibe Frank Mark A. Hall |
| 6 | Data Mining and Analysis: Fundamental Concepts and Algorithms | book | Mohammed J. Zaki Wagner Meira Jr |
| 7 | Data Mining and Big Data | book | First International Conference, DMBD 2016 |
| 8 | DATA MINING AND BUSINESS ANALYTICS WITH R | book | Johannes Ledolter |
| 9 | DATA MINING AND LEARNING ANALYTICS | book | SAMIRA ELATIA ,DONALD IPPERCIEL ,OSMAR R. ZAÏANE |
| 10 | Data Mining and Statistics for Decision Making | book | Ste´phane Tuffe´ry |
| 11 | DATA MINING FOR BUSINESS ANALYTICS | book | Galit Shmueli Peter C. Bruce Inbal Yahav Nitin R. Patel Kenneth C. Lichtendahl, Jr |
| 12 | Data Mining for Business Intelligence | book | Galit Shmueli |
| 13 | Data Mining for Dummies | book | Meta S.brown |
| 14 | DATA MINING METHODS and APPLICATIONS | book | Kenneth D. Lawrence Stephan Kudyba Ronald K. Klimberg |
| 15 | Data Mining Mobile Devices | book | Jesus Mena |
| 16 | Data Mining with R | book | Luis Torgo |
| 17 | Data Mining A Tutorial-Based Primer | book | Richar J.Roiger |
| 18 | Data Mining Concepts and Techniques | book | Jiawei Han, Micheline Kamber Jian Pei |
| 19 | Data Mining: The Textbook | book | Charu C. Aggarwal |
| 20 | DESIGN AND IMPLEMENTATION OF DATA MINING TOOLS | book | M. Awad Latifur Khan Bhavani Thuraisingham Lei Wang |
| 21 | HANDBOOK OF STATISTICAL ANALYSIS AND DATA MINING APPLICATIONS | book | Robert Nisbet, John Elder |
| 22 | MAKING SENSE OF DATA II | book | GLENN J. MYATT, WAYNE P. JOHNSON |
| 23 | Mining the social Web | book | Mattew A. Russell |
| 24 | Principles of Data Mining | book | Max Bramer |
| 25 | R Data Mining Blueprints | book | R Data Mining Blueprints |
| 26 | R: Mining Spatial, Text, Web, and Social Media Data | book | Bater Makhabel Pradeepta Mishra Nathan Danneman Richard Heimann |
| 27 | Statistical and Machine-Learning Data Mining | book | Bruce Ratner |
| 28 | The Big Data Market (A Data-Driven Analysis of Companies Using Hadoop, Spark, and Data Science) | book | Aman Naimat |
| 29 | Transparent Data Mining for Big and Small Data | book | Tania Cerquitelli • Daniele Quercia • Frank Pasquale Editors |
| 30 | Visual Data Mining | book | Russell K. Anderson |
| 31 | DATA MINING WITH DECISION TREES | book | Lior Rokach, |
4. Download Data Science resources
Data Science Resources
| Name | Type | authors | |
|---|---|---|---|
| 1 | Data Science Salary Survey | article | John King & Roger Magoulas |
| 2 | A Simple Introduction to Data Science | book | Lars Nielsen |
| 3 | Advanced Object-Oriented Programming in R | book | Thomas Mailund |
| 4 | Agile Data Science 2.0 | book | Russell Jurney |
| 5 | Algorithms for Data Science | book | Brian Steele • John Chandler • Swarna Reddy |
| 6 | Analytics in a Big Data World | book | Bart Baesens |
| 7 | Beginning Data Science in R | book | Thomas Mailund |
| 8 | Big Data MBA (Driving Business Strategies with Data Science ) | book | Bill Schmarzo |
| 9 | Creativity in Intelligent Technologies and Data Science | book | Second Conference, CIT&DS 2017 |
| 10 | Data Science – Analytics and Applications | book | Proceedings of the 1st International Data Science Conference |
| 11 | Data Science Algorithms in a Week | book | Dávid Natingga |
| 12 | Data Science & Big Data Analytics | book | EMC Education Services |
| 13 | Data Science and Big Data Computing | book | Zaigham Mahmoo |
| 14 | Data Science at the Command Line | book | Jeroen Janssens |
| 15 | Data Science Essentials in Python | book | Dmitry Zinoviev |
| 16 | Data Science for Business | book | Foster Provost |
| 17 | Data Science for Modern Manufacturing | book | Li Ping Chu |
| 18 | DATA SCIENCE FOUNDATIONS Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics | book | Taylor and Francis Group |
| 19 | Data Science, Question and Answers | book | Georg Duckett |
| 20 | Data Science Using Oracle Data Miner and Oracle R Enterprise | book | Sibanjan Das |
| 21 | Data Science with Microsoft SQL Server 2016 | book | Buck Woody, Danielle Dean, Debraj GuhaThakurta Gagan Bansal, Matt Conners, Wee-Hyong Tok |
| 22 | Data Science Create Teams That Ask the Right Questions and Deliver Real Value | book | Doug Rose |
| 23 | Doing Data Science | book | Rachel Schutt and Cathy O’Neil |
| 24 | D ATA S C I E N C E : T H E O R I E S , M O D E L S , A L G O R I T H M S , A N D A N A LY T I C S | book | S . R . D A S |
| 25 | Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance | book | Thomas Mailund |
| 26 | Going Pro in Data Science | book | Jerry Overton |
| 27 | Mastering Data Analysis with R | book | Gergely Daróczi |
| 28 | Metaprogramming in R Advanced Statistical Programming for Data Science, Analysis and Finance | book | Thomas Mailund |
| 29 | Practical Data Science Cookbook | book | Tony Ojeda Sean Patrick Murphy Benjamin Bengfort Abhijit Dasgupta |
| 30 | Practical Data Science with R | book | NINA ZUMEL JOHN MOUNT |
| 31 | Principles of Data Science | book | Sinan Ozdemir |
| 32 | R for Data Science | book | Hadley Wickham & Garrett Grolemund |
| 33 | Smarter Decisions – The Intersection of Internet of Things and Decision Science | book | Jojo Moolayil |
| 34 | Soft Methods for Data Science | book | conference |
| 35 | The Data Science Design Manual | book | Steven S. Skiena |
| 36 | The Data Science Handbook | book | Field Cady |
| 37 | The Essentials of Data Science Knowledge Discovery Using R | book | For Catharina Anam Cara |
| 38 | What Is Data Science | book | Mike Loukides |
5. Download Machine Learning resources
Machine Learning Resources
| Name | Type | authors | |
|---|---|---|---|
| 1 | A FIRST COURSE IN MACHINE LEARNING | book | Simon Rogers, Mark Girolami |
| 2 | A Machine Learning Approach to Phishing Detection and Defense | book | Oluwatobi Ayodeji Akanbi Iraj Sadegh Amiri Elahe Fazeldehkordi |
| 3 | A Top Down Approach to Machine Learning | book | Marty Jacobs |
| 4 | Advances in Soft Computing and Machine Learning in Image Processing | book | Aboul Ella Hassanien Diego Alberto Oliva |
| 5 | Apache Oozie Essentials | book | Jagat Jasjit Singh |
| 6 | Apache Spark 2.x Machine Learning Cookbook | book | Siamak Amirghodsi Meenakshi Rajendran Broderick Hall Shuen Mei |
| 7 | Deep Thinking | book | John Murray |
| 8 | Demystifying Big Data and Machine Learning for Healthcare | book | Prashant Natarajan • John C. Frenzel • Detlev H. Smaltz |
| 9 | Efficient Learning Machines | Eric Hoffer | |
| 10 | Encyclopedia of Machine Learning and Data Mining | book | Claude Sammut • Geoffrey I. Webb |
| 11 | Feature Engineering for Machine Learning | book | Alice Zheng & Amanda Casari |
| 12 | Fundamentals of Deep Learning | book | Nikhil Buduma |
| 13 | Granular Computing Based Machine Learning | book | Han Liu, Mihaela Cocea |
| 14 | Hands-On Machine Learning with Scikit-Learn and TensorFlow | book | Aurélien Géron |
| 15 | Introduction to Machine Learning and Bioinformatics | book | Sushmita Mitra |
| 16 | Large Scale Machine Learning with Python | book | Bastiaan Sjardin Luca Massaron Alberto Boschetti |
| 17 | Large-Scale Machine Learning in the Earth Sciences | book | Large-Scale Machine Learning in the Earth Sciences |
| 18 | Learning to Love Data Science (Exploring Predictive Analytics, Machine Learning, Digital Manufacturing, and Supply Chain Optimization ) | book | Mike Barlow |
| 19 | Learning Microsoft Cognitive Services (Leverage Machine Learning APIs to build smart applications) | book | Leif Larsen |
| 20 | Machine Learning and Knowledge Discovery in Databases | book | Machine Learning and Knowledge Discovery in Database |
| 21 | Machine Learning and Knowledge Discovery in Databases (part two) | book | Machine Learning and Knowledge Discovery in Database |
| 22 | Machine Learning For Dummies | book | John Paul Mueller and Luca Massaron |
| 23 | Machine Learning For Hackers | book | Drew Conway and John Myles White |
| 24 | Machine Learning in Action | book | PETER HARRINGTON |
| 25 | Machine Learning in Cyber Trust (Security, Privacy, and Reliability) | book | Jeffrey J.P. Tsai Philip S. Yu |
| 26 | Machine Learning Models and Algorithms for Big Data Classification | book | Shan Suthaharan |
| 27 | Machine Learning Refined (Foundations, Algorithms, and Applications) | book | JEREMY WATT, REZA BORHANI, AND AGGELOS K. KATSAGGELOS |
| 28 | Machine Learning With Go | book | Daniel Whitenack |
| 29 | Machine Learning A Probabilistic Perspective | book | Kevin P. Murphy |
| 30 | Machine Learning Algorithms and Applications | book | Mohssen Mohammed Muhammad Badruddin Khan Eihab Bashier Mohammed Bashier |
| 31 | MACHINE LEARNING An Algorithmic Perspective | book | Stephen Marsland |
| 32 | Stephen Marsland (Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervised Learning Decision Tree & Random Forest Introduction) | book | William Sullivan |
| 33 | MACHINE LEARNING THE NEW AI | book | ETHEM ALPAYDIN |
| 34 | Machine Learning Algorithms | book | Giuseppe Bonaccorso |
| 35 | Giuseppe Bonaccors | book | Andrea Lsoni |
| 36 | Machine Learning Mastering the Basics: An In-Depth Look at Machine Learning | book | Fritz Matt |
| 37 | Mastering Machine Learning with Spark 2.x | book | Alex Tellez Max Pumperla Michal Malohlava |
| 38 | Mastering Machine Learning with scikit-learn | book | Gavin Hackeling |
| 39 | MATLAB Machine Learning | book | Michael Paluszek Stephanie Thomas |
| 40 | MATLAB for Machine Learning (Functions, algorithms, and use cases) | book | Giuseppe Ciaburro |
| 41 | Microsoft Azure Machine Learning (Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks) | book | Sumit Mund |
| 42 | Muti-Agent Machine Learning | book | Harward Schwartz |
| 43 | Natural Language Annotation for Machine Learning | book | James Pustejovsky and Amber Stubbs |
| 44 | NLTK Essentials (Build cool NLP and machine learning applications using NLTK and other Python libraries) | book | Nitin Hardeniya |
| 45 | Numerical Algorithms (Methods for Computer Vision, Machine Learning, and Graphics) | book | Justin Solomon |
| 46 | Python Machine Learning By Example | book | Yuxi (Hayden) Liu |
| 47 | Real-World Machine Learning | book | HENRIK BRINK JOSEPH W. RICHARDS MARK FETHEROLF |
| 48 | STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS | book | MATTHIAS DEHMER, SUBHASH C. BASAK |
| 49 | Statistics for Machine Learning | book | Pratap Dangeti |
| 50 | Statistics, Data Mining, and Machine Learning in Astronomy | book | David N. Spergel |
| 51 | Test-Driven Machine Learning | book | Justin Bozonier |
6. Download Deep Learning resources
Deep Learning Resources
| Name | Type | authors | |
|---|---|---|---|
| 1 | CUDA for Engineers An Introduction to High-Performance Parallel Computing | book | Duane Storti Mete Yurtoglu |
| 2 | Deep Learning for Biometrics | book | Bir Bhanu • Ajay Kumar |
| 3 | Deep Learning for Computer Architects | book | Margaret Martonosi |
| 4 | Deep Learning | book | Ian Goodfellow Yoshua Bengio Aaron Courville |
| 5 | Deep Learning | book | Josh Patterson & Adam Gibson |
7. Download Tensorflow resources
Tensorflow Resources
| Name | Type | authors | |
|---|---|---|---|
| 1 | Building Machine Learning Projects with TensorFlow | book | Rodolfo Bonnin |
| 2 | Deep Learning with TensorFlow | book | Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy |
| 3 | Getting Started with TensorFlow | book | Giancarlo Zaccone |
| 4 | Hands-On Deep Learning with TensorFlow | book | Dan Van Boxel |
| 5 | Learning Neural Networks with Tensorflow | course | video |
| 6 | Learning TensorFlow, A Guide to Building Deep Learning Systems | book | Tom Hope, Yehezkel S. Reshe�, and Itay Lieder |
| 7 | Tensorflow Deep Learning Solutions for Images | course | video |
| 8 | TensorFlow for Deep Learning | book | Reza Bosagh Zadeh, Bharath Ramsundar |
| 9 | TensorFlow for Machine Intelligence | book | Sam Abrahams,Danijar Hafner,Erik Erwitt,Ariel Scarpinelli |
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