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Foundations of Data Science free ebook download

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Mathematics

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Author(s):	Foundations of Data Science

Date:	2020	Format:	PDF	Language:	English	ISBN/ASIN:	1108485065
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	gestalt	Upload Date:	1/22/2020 9:29:20 AM

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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.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2681779	Book	http://k2s.cc/file/621d29acabbe8...		3.00	gestalt

Tags: Data Foundations Science

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Foundations of Data Science free ebook download

Category: Mathematics

Description: Click to see full description

Category:
Mathematics