Foundations of Data Science

Foundations of Data Science
Author: Avrim Blum
Publisher: Cambridge University Press
Total Pages: 433
Release: 2020-01-23
Genre: Computers
ISBN: 1108617360

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.

State Data Profiles

State Data Profiles
Author: United States. Agricultural Stabilization and Conservation Service. Data Systems Division
Publisher:
Total Pages: 116
Release: 1973
Genre: Agricultural price supports
ISBN:

The Foundations of Statistics

The Foundations of Statistics
Author: Leonard J. Savage
Publisher: Courier Corporation
Total Pages: 341
Release: 2012-08-29
Genre: Mathematics
ISBN: 0486137104

Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.

Foundations of European Politics

Foundations of European Politics
Author: Catherine E. De Vries
Publisher: Oxford University Press
Total Pages: 333
Release: 2021
Genre: Europe
ISBN: 0198831307

Foundations of European Politics: A Comparative Approach offers an accessible introduction to European politics using a coherent comparative and analytical framework. It presents students with the basic theoretical and empirical toolkit of social scientific researchers, and explains how ananalytic approach can be used to understand both domestic and EU-level policy-making in Europe.The book draws on cutting edge research from all areas of European politics - from national and EU institutions, to political behaviour and policy-making - and uses case studies and examples throughout to help students compare different electoral systems, parties and governments across Europe.The book is structured thematically in five parts, beginning with theoretical foundations; moving on to examine citizens and voters, elections and parties, governments and policy; and finally covering the rule of law, democracy and backsliding.Digital formats and resourcesFoundations of European Politics: A Comparative Approach is available for students and institutions to purchase in a variety of formats, and is supported by online resources.DT The e-book offers a mobile experience and convenient access along with functionality tools, navigation features and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks http://www.oxfordtextbooks.co.uk/ebooksDT Online resources for students include: multiple choice questions, web links, essay questions, and data descriptions and data exercises.DT Online resources for lecturers include: adaptable PowerPoint slides, test bank questions, figures and tables from the book.