Introducing Data Science

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Davy Cielen, Arno Meysman, Mohamed Ali, "Introducing Data Science: Big Data, Machine Learning, and more, using Python tools"
English | ISBN: 1633430030 | 2016 | PDF/EPUB | 320 pages | 15 MB/13 MB

A Simple Introduction to Data Science: Book 2 (New Street Data Science Basics 2)  eBooks & eLearning

Posted by AlenMiler at April 9, 2015
A Simple Introduction to Data Science: Book 2 (New Street Data Science Basics 2)

A Simple Introduction to Data Science: Book 2 (New Street Data Science Basics 2) by Lars Nielsen
English | Apr 7, 2015 | ASIN: B00VTW4RPM | 35 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.9 MB

Taking up where the bestselling a simple introduction to data science leaves off, Lars Nielsen's BOOK TWO expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics.

Introducing Food Science, Second Edition  eBooks & eLearning

Posted by roxul at Dec. 10, 2016
Introducing Food Science, Second Edition

Robert L. Shewfelt and Alicia Orta-Ramirez, "Introducing Food Science, Second Edition"
English | ISBN: 1482209748 | 2016 | 463 pages | EPUB | 28 MB
"Simply Scheme - 2nd Edition: Introducing Computer Science" by Brian Harvey, Matthew Wright

"Simply Scheme - 2nd Edition: Introducing Computer Science" by Brian Harvey, Matthew Wright
MIT Press | 1999 | ISBN: 262082810 9780262082815 | 613 pages | PDF/djvu | 5 MB

This book is as much about thinking like Scheme as it is about the basic nuts and bolts of the language. Sections on using software patterns in Scheme help bring this new edition up to date. Though not often used in business, Scheme and its cousin Common Lisp (which the book describes in an appendix) are still favored by computer scientists, for example, in artificial intelligence research. The text allows the student to experience the computer as a tool for expressing ideas, not as a frustrating set of mathematical obstacles. This goal is supported by the use of Scheme, a modern dialect of Lisp, designed to emphasize symbolic programming.
Brian Harvey, Matthew Wright and Harold Abelson, "Simply Scheme: Introducing Computer Science" (Repost)

Brian Harvey, Matthew Wright and Harold Abelson, "Simply Scheme: Introducing Computer Science" (Repost)
Publisher: MIT Press | ISBN: 0262082268 | edition 1994 | PDF | 610 pages | 16,28 mb

An introductory-level text for students who are not majoring in computer science as well as for computer science majors with no prior programming experience, Simply Scheme teaches computer science from a functional/symbolic point of view. It provides a solid platform from which students can go on to study the seminal work Structure and Interpretation of Computer Programs. Beginners will find the authors' approach sophisticated yet conversational and unintimidating.

Simply Scheme: Introducing Computer Science  eBooks & eLearning

Posted by lisekise at Sept. 26, 2009
Simply Scheme: Introducing Computer Science

Simply Scheme: Introducing Computer Science
By Brian Harvey, Matthew Wright

Publisher: Mit Pr | 616 pages | 1994-02 | ISBN: 0262082268 | English | PDF | 16.28 MB

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.