O'reilly Data Science

Oreilly - Data Science at the Command Line  eBooks & eLearning

Posted by Max-X at Dec. 22, 2014
Oreilly - Data Science at the Command Line

Oreilly - Data Science at the Command Line
English | .MP4 | h264, yuv420p, 1280x720, 29.97 fps(r) | aac, 44100 Hz, mono | 392 MB
Genre: E-learning

We data scientists love to create exciting data visualizations and insightful statistical models. However, before we get to that point, usually much effort goes into obtaining, scrubbing, and exploring the required data.

O'Reilly Learning Paths - Data Science with R Video Training  eBooks & eLearning

Posted by IrGens at Sept. 20, 2015
O'Reilly Learning Paths - Data Science with R Video Training

O'Reilly Learning Paths - Data Science with R Video Training
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 19 Lectures | 25.2 hours | 5.9 GB
Instructors: Stuart Greenlee, Garrett Grolemund, Richie Cotton, Stephen Elston

Oreilly - Hardcore Data Science  eBooks & eLearning

Posted by Max-X at Sept. 16, 2014
Oreilly - Hardcore Data Science

Oreilly - Hardcore Data Science
English | .FLV | aac, 44100 Hz, stereo | h264, yuv420p, 1280x720, 29.97 fps(r) | 3.76GB
Genre: E-learning

Data Science With Apache Spark 2  eBooks & eLearning

Posted by naag at March 26, 2017
Data Science With Apache Spark 2

Data Science With Apache Spark 2
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8.5 Hours | 2.02 GB
Genre: eLearning | Language: English

Get started with Spark for data processing and data science

Ethics in Data Science  eBooks & eLearning

Posted by naag at March 25, 2017
Ethics in Data Science

Ethics in Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 24M | 62 MB
Genre: eLearning | Language: English

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)  eBooks & eLearning

Posted by hill0 at March 23, 2017
Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science) by Nicholas J. Horton
English | 23 Feb. 2017 | ISBN: 1498724485 | 582 Pages | PDF | 91.04 MB

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data.

Data Science and Big Data: An Environment of Computational Intelligence  eBooks & eLearning

Posted by AvaxGenius at March 23, 2017
Data Science and Big Data: An Environment of Computational Intelligence

Data Science and Big Data: An Environment of Computational Intelligence By Witold Pedrycz, Shyi-Ming Chen
English | PDF | 2017 | 303 Pages | ISBN : 3319534734 | 10.45 MB

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike.
Analytics in a Big Data World: The Essential Guide to Data Science and its Applications

Bart Baesens, "Analytics in a Big Data World: The Essential Guide to Data Science and its Applications"
English | ISBN: 1118892704 | 2014 | 256 pages | EPUB | 0.7 MB

Python Data Science Handbook: Essential Tools for Working with Data  eBooks & eLearning

Posted by viserion at March 19, 2017
Python Data Science Handbook: Essential Tools for Working with Data

Jake VanderPlas, "Python Data Science Handbook: Essential Tools for Working with Data"
ISBN: 1491912057 | 2016 | True PDF | 672 pages | 20 MB

Learning Path: Julia: Explore Data Science with Julia  eBooks & eLearning

Posted by FenixN at March 16, 2017
Learning Path: Julia: Explore Data Science with Julia

Learning Path: Julia: Explore Data Science with Julia
HDRips | MP4/AVC, ~137 kb/s | 1280x720 | Duration: 05:33:29 | English: AAC, 128 kb/s (2 ch) | 869 MB
Genre: Development / Programming

Use the advanced features of Julia to work with complex data