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Optimization for Data Analysis free ebook download

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Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	1316518981
Pages:	238	OCR:		Quality:		ISBN13:
Uploader:	topron	Upload Date:	4/13/2022 1:24:45 PM

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Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions  the stochastic gradient method, a workhorse algorithm in machine learning  the coordinate descent approach  several key algorithms for constrained optimization problems  algorithms for minimizing nonsmooth functions arising in data science  foundations of the analysis of nonsmooth functions and optimization duality  and the back-propagation approach, relevant to neural networks.
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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3113501	Book	https://tezfiles.com/file/7bd93787425fc/...		0.00	topron

Tags: Analysis Data Optimization

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Optimization for Data Analysis free ebook download

Category: Misc

Description: Click to see full description

Category:
Misc