Data Science

Beginning Data Science with R [Repost]  eBooks & eLearning

Posted by hill0 at June 22, 2017
Beginning Data Science with R [Repost]

Beginning Data Science with R by Manas A. Pathak
English | 31 Dec. 2014 | ISBN: 3319120654 | 172 Pages | PDF | 3.86 MB

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.

Data Science on the Google Cloud Platform [Early Release]  eBooks & eLearning

Posted by naag at June 22, 2017
Data Science on the Google Cloud Platform [Early Release]

Data Science on the Google Cloud Platform
English | 2017 | ISBN-10: 1491974567 | 250 pages | PDF + EPUB + MOBI(conv) | 4.83 Mb

Data Science A-Z™: Real-Life Data Science Exercises Included  eBooks & eLearning

Posted by naag at May 11, 2017
Data Science A-Z™: Real-Life Data Science Exercises Included

Data Science A-Z™: Real-Life Data Science Exercises Included
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 21 Hours | 6.1 GB
Genre: eLearning | Language: English

Data Science training for beginners. Data Mining, Tableau Visualisation, Statistics, Modelling, Analytics, SQL, SSIS

Python Data Science Essentials - Second Edition  eBooks & eLearning

Posted by AlenMiler at April 14, 2017
Python Data Science Essentials - Second Edition

Python Data Science Essentials - Second Edition by Alberto Boschetti
English | 28 Oct. 2016 | ASIN: B01MAYMIZ3 | 378 Pages | AZW3 | 6.16 MB
Data Science Solutions: Machine Learning. Python. Google Cloud. AWS. Neo4j. Kaggle

Data Science Solutions: Machine Learning. Python. Google Cloud. AWS. Neo4j. Kaggle
2017 | English | ASIN: B01N4WL0XS | 242 pages | PDF + EPUB (conv) | 6.88 Mb

The field of data science, big data, machine learning, and artificial intelligence is exciting and complex at the same time. Data science is also rapidly growing with new tools, technologies, algorithms, datasets, and use cases. For a beginner in this field, the learning curve can be fairly daunting. This is where this book helps.

R Programming Hands-on Specialization for Data Science (Lv1)  eBooks & eLearning

Posted by naag at April 5, 2017
R Programming Hands-on Specialization for Data Science (Lv1)

R Programming Hands-on Specialization for Data Science (Lv1)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 11 Hours | Lec: 88 | 1.31 GB
Genre: eLearning | Language: English

An in-depth course with hands-on real-world Data Science use-case examples to supercharge your data analysis skills.

Mastering Spark for Data Science  eBooks & eLearning

Posted by AlenMiler at April 1, 2017
Mastering Spark for Data Science

Mastering Spark for Data Science by Andrew Morgan
English | 29 Mar. 2017 | ASIN: B01BWNXA82 | 560 Pages | AZW3 | 12.66 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

Scala: Guide for Data Science Professionals  eBooks & eLearning

Posted by AlenMiler at March 3, 2017
Scala: Guide for Data Science Professionals

Scala: Guide for Data Science Professionals by Pascal Bugnion
English | 24 Feb. 2017 | ISBN-13: 9781787282858 | 1650 Pages | EPUB/PDF (conv) | 41.73 MB

Scala will be a valuable tool to have on hand during your data science journey for everything from data cleaning to cutting-edge machine learning.

Reactive Python for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 21, 2017
Reactive Python for Data Science

Reactive Python for Data Science
HDRips | MP4/AVC, ~2000 kb/s | 1920x1080 | Duration: 02:17:37 | English: AAC, 128 kb/s (2 ch) | 2.00 GB
Genre: Development / Programming

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.