Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer science, as well as many other areas. This book provides an introduction to the mathematical methods that form the foundations of machine learning and data science.
Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer science, as well as many other areas. This book provides an introduction to the mathematical methods that form the foundations of machine learning and data science.
Michael W. Mahoney, University of California, Berkeley, CA. John C. Duchi, Stanford University, CA. Anna C. Gilbert, University of Michigan, Ann Arbor, MI.
Inhaltsangabe
1. P. Drineas and M. W. Mahoney Lectures on randomized numerical linear algebra 2. S. J. Wright Optimization algorithms for data analysis 3. J. C. Duchi Introductory lectures on stochastic optimization 4. P.-G. Martinsson Randomized methods for matrix computations 5. R. Vershynin Four lectures on probabilistic methods for data science 6. R. Ghrist Homological algebra and data.
1. P. Drineas and M. W. Mahoney Lectures on randomized numerical linear algebra 2. S. J. Wright Optimization algorithms for data analysis 3. J. C. Duchi Introductory lectures on stochastic optimization 4. P.-G. Martinsson Randomized methods for matrix computations 5. R. Vershynin Four lectures on probabilistic methods for data science 6. R. Ghrist Homological algebra and data.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826