Fundations Student Composition Book 2 Second Edition PDF Download
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Author: Barbara Wilson
Publisher:
ISBN: 9781567785074
Category :
Languages : en
Pages :
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Author: Barbara Wilson
Publisher:
ISBN: 9781567785074
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Barbara Wilson
Publisher:
ISBN: 9781567785210
Category :
Languages : en
Pages :
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Author: Barbara A. Wilson
Publisher:
ISBN: 9781567785388
Category :
Languages : en
Pages :
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Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Barbara Wilson
Publisher:
ISBN: 9781567785227
Category :
Languages : en
Pages :
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Author: Cynthia Dwork
Publisher:
ISBN: 9781601988188
Category : Computers
Languages : en
Pages : 286
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Book Description
The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.
Author: Donald P. Coduto
Publisher: Pearson Higher Ed
ISBN: 1292052430
Category : Technology & Engineering
Languages : en
Pages : 889
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Book Description
For undergraduate/graduate-level foundation engineering courses. Covers the subject matter thoroughly and systematically, while being easy to read. Emphasizes a thorough understanding of concepts and terms before proceeding with analysis and design, and carefully integrates the principles of foundation engineering with their application to practical design problems.
Author: Barbara Wilson
Publisher:
ISBN: 9781567785241
Category :
Languages : en
Pages :
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Book Description
Author: Suzanne Carreker
Publisher: Brookes Publishing Company
ISBN: 9781598572094
Category : Dyslexic children
Languages : en
Pages : 0
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Book Description
Contains 106 activities and 21 "Try This" exercises.
Author: Mitchell J. Stoklosa
Publisher:
ISBN: 9780812110074
Category : Medical
Languages : en
Pages : 428
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Book Description
