Title Programming machine learning : from coding to deep learning / Paolo Perrotta ; edited by Katharine Dvorak. [O'Reilly electronic resources]

Publication Info.

Raleigh, North Carolina : Pragmatic Bookshelf, [2020]

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Available on O'Reilly for Public Libraries

Bookmark link: https://library.naperville-lib.org:444/record=b3181792~S1

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Description	1 online resource
Series	The pragmatic programmers
	Pragmatic programmers.
Contents	Part 1. From zero to image recognition. How machine learning works -- Your first learning program -- Walking the gradient -- Hyperspace! -- A discerning machine -- Getting real -- The final challenge -- The perceptron -- Part 2. Neural networks. Designing the network -- Building the network -- Training the network -- How classifiers work -- Batchin' up -- The zen of testing -- Let's do development -- Part 3. Deep learning. A deeper kind of netowork -- Defeating overfitting -- Taming deep networks -- Beyond vanilla networks -- Into the deep -- Just enough Python -- The words of machine learning.
Subject	Machine learning.
	Computer programming.
	Python (Computer program language)
	Apprentissage automatique.
	Programmation (Informatique)
	Python (Langage de programmation)
	computer programming.
	Computer programming
	Machine learning
	Python (Computer program language)
Added Author	Dvorak, Katharine, editor.
Other Form:	Print version: Perrotta, Paolo. Programming machine learning. Raleigh, North Carolina : Pragmatic Bookshelf, [2020] 1680506609 9781680506600 (OCoLC)1088540344
ISBN	9781680507720 (electronic book)
	1680507729 (electronic book)
	1680507710 (electronic bk.)
	9781680507713 (electronic bk.)

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