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

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.

Algorithms for Data Science  eBooks & eLearning

Posted by hill0 at Jan. 21, 2017
Algorithms for Data Science

Algorithms for Data Science by Brian Steele
English | 9 Jan. 2017 | ISBN: 3319457950 | 456 Pages | PDF | 8.35 MB

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification.

Data Science with Spark  eBooks & eLearning

Posted by naag at Jan. 19, 2017
Data Science with Spark

Data Science with Spark
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 20M | 746 MB
Genre: eLearning | Language: English

Asking Great Data Science Questions (2017)  eBooks & eLearning

Posted by naag at Jan. 13, 2017
Asking Great Data Science Questions (2017)

Asking Great Data Science Questions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 14M | 483 MB
Genre: eLearning | Language: English