Introduction to Probability

Introduction to Probability

Author: Joseph K. Blitzstein

Publisher: CRC Press

Published: 2014-07-24

Total Pages: 599

ISBN-13: 1466575573

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Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.


They Both Die at the End

They Both Die at the End

Author: Adam Silvera

Publisher: HarperCollins

Published: 2017-09-05

Total Pages: 243

ISBN-13: 0062457810

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Adam Silvera reminds us that there’s no life without death and no love without loss in this devastating yet uplifting story about two people whose lives change over the course of one unforgettable day. #1 New York Times bestseller * 4 starred reviews * A School Library Journal Best Book of the Year * A Kirkus Best Book of the Year * A Booklist Editors' Choice * A Bustle Best YA Novel * A Paste Magazine Best YA Book * A Book Riot Best Queer Book * A Buzzfeed Best YA Book of the Year * A BookPage Best YA Book of the Year On September 5, a little after midnight, Death-Cast calls Mateo Torrez and Rufus Emeterio to give them some bad news: They’re going to die today. Mateo and Rufus are total strangers, but, for different reasons, they’re both looking to make a new friend on their End Day. The good news: There’s an app for that. It’s called the Last Friend, and through it, Rufus and Mateo are about to meet up for one last great adventure—to live a lifetime in a single day. In the tradition of Before I Fall and If I Stay, They Both Die at the End is a tour de force from acclaimed author Adam Silvera, whose debut, More Happy Than Not, the New York Times called “profound.” Plus don't miss The First to Die at the End: #1 New York Times bestselling author Adam Silvera returns to the universe of international phenomenon They Both Die at the End in this prequel. New star-crossed lovers are put to the test on the first day of Death-Cast’s fateful calls.


Computational Complexity

Computational Complexity

Author: Sanjeev Arora

Publisher: Cambridge University Press

Published: 2009-04-20

Total Pages: 609

ISBN-13: 0521424267

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New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.


Real Analysis (Classic Version)

Real Analysis (Classic Version)

Author: Halsey Royden

Publisher: Pearson Modern Classics for Advanced Mathematics Series

Published: 2017-02-13

Total Pages: 0

ISBN-13: 9780134689494

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This text is designed for graduate-level courses in real analysis. Real Analysis, 4th Edition, covers the basic material that every graduate student should know in the classical theory of functions of a real variable, measure and integration theory, and some of the more important and elementary topics in general topology and normed linear space theory. This text assumes a general background in undergraduate mathematics and familiarity with the material covered in an undergraduate course on the fundamental concepts of analysis.


All of Statistics

All of Statistics

Author: Larry Wasserman

Publisher: Springer Science & Business Media

Published: 2013-12-11

Total Pages: 446

ISBN-13: 0387217363

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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.


Teach Yourself Java for Macintosh in 21 Days

Teach Yourself Java for Macintosh in 21 Days

Author: Laura Lemay

Publisher: Hayden

Published: 1996-01-01

Total Pages: 567

ISBN-13: 9781568302805

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Takes a tutorial approach towards developing and serving Java applets, offering step-by-step instruction on such areas as motion pictures, animation, applet interactivity, file transfers, sound, and type. Original. (Intermediate).


Bandit Algorithms

Bandit Algorithms

Author: Tor Lattimore

Publisher: Cambridge University Press

Published: 2020-07-16

Total Pages: 537

ISBN-13: 1108486827

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A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.


Process Dynamics and Control

Process Dynamics and Control

Author: Dale E. Seborg

Publisher: John Wiley & Sons

Published: 2016-09-13

Total Pages: 512

ISBN-13: 1119285917

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The new 4th edition of Seborg’s Process Dynamics Control provides full topical coverage for process control courses in the chemical engineering curriculum, emphasizing how process control and its related fields of process modeling and optimization are essential to the development of high-value products. A principal objective of this new edition is to describe modern techniques for control processes, with an emphasis on complex systems necessary to the development, design, and operation of modern processing plants. Control process instructors can cover the basic material while also having the flexibility to include advanced topics.


Introduction to Embedded Systems, Second Edition

Introduction to Embedded Systems, Second Edition

Author: Edward Ashford Lee

Publisher: MIT Press

Published: 2017-01-06

Total Pages: 562

ISBN-13: 0262340526

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An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems.