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Foundations of Data Science
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur 26376474520
Quantité disponible : 1 disponible(s)
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Foundations of Data Science
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-172589
Quantité disponible : 2 disponible(s)
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Foundations of Data Science
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. N° de réf. du vendeur 369570887
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Foundations Of Data Science,
Vendeur : Books in my Basket, New Delhi, Inde
Évaluation du vendeur 5 sur 5 étoiles
Soft cover. Etat : New. ISBN:9789386279804,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition. N° de réf. du vendeur 2440586
Quantité disponible : 1 disponible(s)
Edition internationale
FOUNDATIONS OF DATA SCIENCE
Edition internationaleVendeur : UK BOOKS STORE, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Papeback. Etat : New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. N° de réf. du vendeur AD 9789386279804
Quantité disponible : 3 disponible(s)
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Foundations of Data Science
Vendeur : Vedams eBooks (P) Ltd, New Delhi, Inde
Évaluation du vendeur 4 sur 5 étoiles
Soft cover. Etat : New. 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 counter-intuitive 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. In addition, important structural and complexity measures, such as matrix norms and VC-dimension, are discussed. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. This beautifully written text is a scholarly journey through the mathematical and algorithmic foundations of data science. Rigorous but accessible, and with many exercises, it will be a valuable resource for advanced undergraduate and graduate classes. Peter Bartlett, University of California, Berkeley. A lucid account of mathematical ideas that underlie today's data analysis and machine learning methods. I learnt a lot from it, and I am sure it will become an invaluable reference for many students, researchers and faculty around the world. Sanjeev Arora, Princeton University, New Jersey. N° de réf. du vendeur 133977
Quantité disponible : 5 disponible(s)