Mike X Cohen's Books

Practical Linear Algebra for Data Science

By: Mike X Cohen

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Practical Linear Algebra for Data Science

By: Mike X Cohen

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: The interpretations and applications of vectors and matrices Matrix arithmetic (various multiplications and transformations) Independence, rank, and inverses Important decompositions used in applied linear algebra (including LU and QR) Eigendecomposition and singular value decomposition Applications including least-squares model fitting and principal components analysis

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Page Count

329

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1098120582

ISBN 13

9781098120580

Analyzing Neural Time Series Data

Theory and Practice

By: Mike X Cohen

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Analyzing Neural Time Series Data

Theory and Practice

By: Mike X Cohen

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

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Page Count

615

Publisher

MIT Press

Published Date

ISBN 10

0262019876

ISBN 13

9780262019873

MATLAB for Brain and Cognitive Scientists

By: Mike X Cohen

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MATLAB for Brain and Cognitive Scientists

By: Mike X Cohen

An introduction to a popular programming language for neuroscience research, taking the reader from beginning to intermediate and advanced levels of MATLAB programming. MATLAB is one of the most popular programming languages for neuroscience and psychology research. Its balance of usability, visualization, and widespread use makes it one of the most powerful tools in a scientist's toolbox. In this book, Mike Cohen teaches brain scientists how to program in MATLAB, with a focus on applications most commonly used in neuroscience and psychology. Although most MATLAB tutorials will abandon users at the beginner's level, leaving them to sink or swim, MATLAB for Brain and Cognitive Scientists takes readers from beginning to intermediate and advanced levels of MATLAB programming, helping them gain real expertise in applications that they will use in their work. The book offers a mix of instructive text and rigorous explanations of MATLAB code along with programming tips and tricks. The goal is to teach the reader how to program data analyses in neuroscience and psychology. Readers will learn not only how to but also how not to program, with examples of bad code that they are invited to correct or improve. Chapters end with exercises that test and develop the skills taught in each chapter. Interviews with neuroscientists and cognitive scientists who have made significant contributions their field using MATLAB appear throughout the book. MATLAB for Brain and Cognitive Scientists is an essential resource for both students and instructors, in the classroom or for independent study.

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Page Count

572

Publisher

MIT Press

Published Date

ISBN 10

0262035820

ISBN 13

9780262035828

Analyzing Neural Time Series Data

Theory and Practice

By: Mike X Cohen

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Analyzing Neural Time Series Data

Theory and Practice

By: Mike X Cohen

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615

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MIT Press

Published Date

ISBN 10

026231956X

ISBN 13

9780262319560

The Horror Show Guide

The Ultimate Frightfest of Movies

By: Mike Mayo

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The Horror Show Guide

The Ultimate Frightfest of Movies

By: Mike Mayo

This cinefile’s guidebook covers the horror genre monstrously well! Find reviews of over 1,000 of the best, weirdest, wickedest, wackiest, and most entertaining scary movies from every age of horror! Atomic bombs, mad serial killers, zealous zombies, maniacal monsters lurking around every corner, and the unleashing of technology, rapidly changing and dominating our lives. Slasher and splatter films. Italian giallo and Japanese city-stomping monster flicks. Psychological horrors, spoofs, and nature running amuck. You will find these terrors and many more in The Horror Show Guide: The Ultimate Frightfest of Movies. No gravestone is left unturned to bring you entertaining critiques, fascinating top-ten lists, numerous photos, and extensive credit information to satisfy even the most die-hard fans. Written by a fan for fans, The Horror Show Guide helps lead even the uninitiated to unexpected treasures of unease and mayhem with lists of similar motifs, including ... Urban Horrors Nasty Bugs, Mad Scientists and Maniacal Medicos Evil Dolls Bad Hair Days Big Bad Werewolves Most Appetizing Cannibals Classic Ghost Stories Fiendish Families Guilty Pleasures Literary Adaptations Horrible Highways and Byways Post-Apocalyptic Horrors Most Regrettable Remakes Towns with a Secret and many more. With reviews on many overlooked, underappreciated gems, new devotees and discriminating dark-cinema enthusiasts alike will love this big, beautiful, end-all, be-all guide to an always popular film genre. With many photos, illustrations, and other graphics, The Horror Show Guide is richly illustrated. Its helpful appendix of movie credits, bibliography, and extensive index add to its usefulness.

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Page Count

497

Publisher

Visible Ink Press

Published Date

ISBN 10

157859460X

ISBN 13

9781578594603

Murder in Central Park

By: Michael Jahn,Mike Jahn

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Murder in Central Park

By: Michael Jahn,Mike Jahn

NYPD Detective Bill Donovan investigates a murder where the son of Donovan's ornithologist friend is a suspect. The victim observed mating rituals--namely of the boy and his girlfriend, a "body poet" with her own cybernudity Website who was being stalked by the victim. Martin's Press.

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Page Count

264

Publisher

Worldwide Library

Published Date

ISBN 10

037326383X

ISBN 13

9780373263837

Teach Yourself Visually Photoshop 7

By: Mike Wooldridge

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Teach Yourself Visually Photoshop 7

By: Mike Wooldridge

Step-by-step screen shots that show you how to tackle more than 140 Photoshop 7 tasks, from manipulating image selections and adjusting colors to working with layers, applying effects and filters, and adding type.

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Page Count

324

Publisher

Visual

Published Date

ISBN 10

0764536826

ISBN 13

9780764536823

MATLAB for Brain and Cognitive Scientists

By: Mike X Cohen

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MATLAB for Brain and Cognitive Scientists

By: Mike X Cohen

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Page Count

572

Publisher

MIT Press

Published Date

ISBN 10

0262338424

ISBN 13

9780262338424

Tom Clancy's Ghost Recon

By: Michael Searle,Mike Searle

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Tom Clancy's Ghost Recon

By: Michael Searle,Mike Searle

You Can Run, But You Can't Hide! ·Unlock hidden combat specialists ·Complete mission walkthroughs ·Lethal strategies ·Detailed weapons breakdown ·Tips on assembling an unstoppable team ·Play your team like the pros ·Full mission maps reveal enemy positions

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Page Count

116

Publisher

Prima Games

Published Date

ISBN 10

0761540814

ISBN 13

9780761540816

Practical Linear Algebra for Data Science

From Core Concepts to Applications Using Python

By: MIKE. COHEN

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Practical Linear Algebra for Data Science

From Core Concepts to Applications Using Python

By: MIKE. COHEN

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Page Count

300

Publisher

O'Reilly Media

Published Date

ISBN 10

1098120612

ISBN 13

9781098120610

Book's by Mike X Cohen

Practical Linear Algebra for Data Science

Practical Linear Algebra for Data Science

Analyzing Neural Time Series Data

Analyzing Neural Time Series Data

MATLAB for Brain and Cognitive Scientists

MATLAB for Brain and Cognitive Scientists

Analyzing Neural Time Series Data

Analyzing Neural Time Series Data

The Horror Show Guide

The Horror Show Guide

Murder in Central Park

Murder in Central Park

Teach Yourself Visually Photoshop 7

Teach Yourself Visually Photoshop 7

MATLAB for Brain and Cognitive Scientists

MATLAB for Brain and Cognitive Scientists

Tom Clancy's Ghost Recon

Tom Clancy's Ghost Recon

Practical Linear Algebra for Data Science

Practical Linear Algebra for Data Science

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