High-Dimensional Probability: An Introduction with Applications in Data Science, Hardcover - Roman Vershynin

DescriptionHigh-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to ...

A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including ...

For example, grammar-based techniques are introduced for traversals of Cartesian and octree-type meshes, and arithmetisation of SFC is explained to...

Reducere. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense...

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Wri...

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This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject ...

This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as resear...

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It...

Reducere. Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The ...

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected ...

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Description"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is...

The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory ...

DescriptionRecent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settin...

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"The book is outstanding and admirable in many respects. ... is necessary reading for all kinds of readers from undergraduate students to top autho...

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniq...

Combining intuitive understanding with rigorous mathematical theory, this book introduces the theory of marked point processes on the real line, in...

To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of...

Reducere. Sheldon Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a fir...

The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and th...

The theory of semigroups of operators is a topic with great intellectual beauty and wide-ranging applications. This graduate-level introduction pre...

DescriptionProbability and Statistics for Data Science: Math + R + Data covers "math stat"--distributions, expected value, estimation etc.--but tak...

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Contributor(s): Author: David F. AndersonAuthor: Timo SeppalainenAuthor: Benedek ValkoThis classroom-tested textbook is an introduction to probabil...

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statisti...

DescriptionProviding a self-contained resource for upper undergraduate courses in combinatorics, this text emphasizes computation, problem solving,...

This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors' own graduat...

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A brief account of the history of the development of probability theory, explaining the philosophical approaches, discussing probability distributi...

Contributor(s): Author: Martin BraunMathematics is playing an ever more important role in the physical and biological sciences, provoking a blurrin...

Data Visualization is the presentation of data in graphical format.In this tutorial for beginners, you will learn how to present data graphically w...

Making good decisions under conditions of uncertainty - which is the norm - requires a sound appreciation of the way random chance works. As analys...

Reducere. DescriptionThe goal of Optimal Transport (OT) is to define geometric tools that are useful to compare probability distributions. Their use dates ba...

This textbook offers a detailed introduction to the methodology and applications of sequent calculi in propositional logic. Unlike other texts conc...