Items related to Optimization for Data Analysis
- PublisherCambridge University Press
- Publication date2022
- ISBN 10 1316518981
- ISBN 13 9781316518984
- BindingHardcover
- LanguageEnglish
- Number of pages238
Search results for Optimization for Data Analysis
Seller Image
Optimization for Data Analysis
Published by
Cambridge University Press, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 42730121-n
Quantity: 1 available
Seller Image
Optimization for Data Analysis (Hardback or Cased Book)
Published by
Cambridge University Press 4/5/2022, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Hardback or Cased Book. Condition: New. Optimization for Data Analysis 1.07. Book. Seller Inventory # BBS-9781316518984
Quantity: 5 available
Stock Image
Optimization for Data Analysis
Published by
Cambridge University Press, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FM-9781316518984
Quantity: 15 available
Stock Image
Optimization for Data Analysis
Published by
Cambridge University Press, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FM-9781316518984
Quantity: 15 available
Stock Image
Optimization for Data Analysis
Published by
Cambridge University Press, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2411530051406
Quantity: Over 20 available
Seller Image
Optimization for Data Analysis
Published by
Cambridge University Press, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
Used
Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 42730121
Quantity: 1 available
Stock Image
Optimization for Data Analysis
Published by
Cambridge University Press, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9781316518984
Quantity: Over 20 available
Stock Image
Optimization for Data Analysis
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 227 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __1316518981
Quantity: 1 available
Stock Image
Optimization for Data Analysis
Published by
Cambridge University Press, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26384581810
Quantity: 1 available
Seller Image
Optimization for Data Analysis (Hardcover)
Published by
Cambridge University Press, Cambridge, 2022
ISBN 10: 1316518981
ISBN 13: 9781316518984
New
Hardcover
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. Optimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental properties provides important grounding for students, researchers, and practitioners. This compact, self-contained text covers the fundamentals of optimization algorithms, focusing on the techniques most relevant to data science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781316518984
Quantity: 1 available