Theoretical minimum for Big Data. All you need to know about big data
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Today, Big Data is a big business. Our life is managed by information, and the extraction of benefits from it becomes the central moment in the work of modern organizations. It doesn’t matter who you are a business person working with an analytics, a beginner programmer or developer - "Theoretical minimum in Big Data" will make it possible to understand the basics of a new and rapidly developing industry of large data processing.
Do you want to learn about big data and mechanisms to work with them? A separate chapter is devoted to each algorithm, which not only explains the basic principles of work, but also give examples of use in real tasks. A large number of illustrations and simple comments will easily understand the most difficult aspects of Big Data.
"excellent visualization of machine learning concepts allows the" nonsense "intuitively understand complex abstract concepts. This concise and accurate squeeze contains the theoretical minimum of the information necessary for the first acquaintance with Big Data. "
Ethan Chen, author of the CS 102 course: Big Data, Stanford University
Do you want to learn about big data and mechanisms to work with them? A separate chapter is devoted to each algorithm, which not only explains the basic principles of work, but also give examples of use in real tasks. A large number of illustrations and simple comments will easily understand the most difficult aspects of Big Data.
"excellent visualization of machine learning concepts allows the" nonsense "intuitively understand complex abstract concepts. This concise and accurate squeeze contains the theoretical minimum of the information necessary for the first acquaintance with Big Data. "
Ethan Chen, author of the CS 102 course: Big Data, Stanford University
Author:
Author:Annalin En ,, Kennet SU
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
Series:
Series: Programmer Library
Age restrictions:
Age restrictions:16+
ISBN:
ISBN:978-5-4461-1040-7
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