April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Vector spaces
Linear algebra is well known as an algebra of vector spaces. Vector objects of field type real or complex can be added and scaled by multiplying the vector with the scalar number α.
Vector space is a collection of vector objects, which can be added and multiplied together. Two vectors can be combined to produce a third vector or another object in a vector space. The axioms of vector space have useful properties. Space in vector space helps in studying the properties of physical space, for example, to find how near or far away an object is. One of the examples of vector space is a collection of vectors in a three-dimensional Euclidean space. Vector space V over field F has the following properties:
- Vector addition: denoted by ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.