The Little Book of Algorithms 2.0: A Workbook to Develop Fluency in Python Programming

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Publisher : Little Book of Algorithms
ISBN 13 : 9781916116344
Total Pages : 126 pages
Book Rating : 4.1/5 (163 download)

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Book Synopsis The Little Book of Algorithms 2.0: A Workbook to Develop Fluency in Python Programming by : William Lau

Download or read book The Little Book of Algorithms 2.0: A Workbook to Develop Fluency in Python Programming written by William Lau and published by Little Book of Algorithms. This book was released on 2020-06-24 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This workbook is designed to help those learning and teaching Computer Science at secondary school level. The aim of the book is to help students build fluency in their Python programming. The book would suit students who have already been introduced to the three basic programming constructs of structured programming, namely sequence, selection and iteration. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts such as lists and 2D lists and file writing. Originally, the book was written for 14-16 year old students studying for their GCSE Computer Science programming exam. However, a wide range of students and teachers will find this book useful.The Little Book of Algorithms concisely presents eighteen problems which computer science students will commonly encounter. These problems are solved efficiently using programs written using Python. However, reading these programs is not enough, so this new version of the book now comes with 48 challenges so that you can apply what you have learnt in various ways: Writing your own programsSolving Parson's puzzlesCompleting quizzes Tracing Gap fillsThis range of exercises will help you to become more fluent in Python and ensure that you are comfortable with any question format in a programming exam. Solutions are provided in the back and a series of video tutorials is also provided so that you can code along with the author, hearing his thought processes as he programs.After finishing this book, you should feel more familiar with: While loops and For loopsConcatenating different data typesUsing procedures and functionsWorking with 1D and 2D lists and arraysFile reading and writing This book will show you how to write better Python programs and will expose you to the key skills that are required to do well in any secondary school programming assignment or exa

The Little Book of Algorithms

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Author :
Publisher : Nielsen
ISBN 13 : 9781916116306
Total Pages : 70 pages
Book Rating : 4.1/5 (163 download)

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Book Synopsis The Little Book of Algorithms by : William Lau

Download or read book The Little Book of Algorithms written by William Lau and published by Nielsen. This book was released on 2019-04-26 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to help those learning and teaching Computer Science. The aim of the book is to help students build fluency in their Python programming. The book would suit students who have already been introduced to the three basic programming constructs of structured programming, namely sequence, selection and iteration. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts such as lists and 2D lists, file writing and using procedures and functions. Originally, the book was written for my 14-16 year old students studying for their GCSE Computer Science programming exam. However, I hope a wide range of students and teachers will find this book useful.

The Little Book of Julia Algorithms

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Publisher :
ISBN 13 : 9781637540008
Total Pages : pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis The Little Book of Julia Algorithms by : Ahan Sengupta

Download or read book The Little Book of Julia Algorithms written by Ahan Sengupta and published by . This book was released on 2022-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Targeted at middle and high school programmers, this book aims to explain basic computer science concepts while teaching the Julia programming language. As a fast and productive high level language, Julia is ideal for beginner programmers. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts. The book contains 50 programming challenges that encourages the reader to write their own programs. The solutions to all challenges are given at the end of the book. This book will make readers comfortable with using computers to solve any problems, and leave them well prepared for more significant programming in their maths, science or computer science courses at college. After finishing the exercises in this book, the reader should feel more familiar with: Loops and conditionals, Structuring code with functions, Reading and writing files, Installing and using packages, Sorting and searching, and Simple Statistics and Plotting. With a foreword by Jeff Bezanson, co-creator of the Julia programming language.

Python Workout

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Publisher : Manning Publications
ISBN 13 : 1617295507
Total Pages : 246 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Python Workout by : Reuven M. Lerner

Download or read book Python Workout written by Reuven M. Lerner and published by Manning Publications. This book was released on 2020-08-04 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you’ll build programming skill and confidence. Summary The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you’ll build programming skill and confidence. The thorough explanations help you lock in what you’ve learned and apply it to your own projects. Along the way, Python Workout provides over four hours of video instruction walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology To become a champion Python programmer you need to work out, building mental muscle with your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess—one important skill at a time. About the book Python Workout presents 50 exercises that focus on key Python 3 features. In it, expert Python coach Reuven Lerner guides you through a series of small projects, practicing the skills you need to tackle everyday tasks. You’ll appreciate the clear explanations of each technique, and you can watch Reuven solve each exercise in the accompanying videos. What's inside 50 hands-on exercises and solutions Coverage of all Python data types Dozens more bonus exercises for extra practice About the reader For readers with basic Python knowledge. About the author Reuven M. Lerner teaches Python and data science to companies around the world. Table of Contents 1 Numeric types 2 Strings 3 Lists and tuples 4 Dictionaries and sets 5 Files 6 Functions 7 Functional programming with comprehensions 8 Modules and packages 9 Objects 10 Iterators and generators

Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages

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Publisher : McGraw Hill Professional
ISBN 13 : 1260456641
Total Pages : 191 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages by : Tanmay Bakshi

Download or read book Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages written by Tanmay Bakshi and published by McGraw Hill Professional. This book was released on 2019-12-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A quick guide to start writing your own fun and useful Julia apps—no prior experience required! This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python. Inside, you’ll learn to: • Set up and configure your Julia environment • Get up and running writing your own Julia apps • Define variables and use them in your programs • Use conditions, iterations, for-loops, and while-loops • Create, go through, and modify arrays • Build an app to manage things you lend and get back from your friends • Create and utilize dictionaries • Simplify maintenance of your code using functions • Apply functions on arrays and use functions recursively and generically • Understand and program basic machine learning apps

C++17 STL Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1787121763
Total Pages : 523 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis C++17 STL Cookbook by : Jacek Galowicz

Download or read book C++17 STL Cookbook written by Jacek Galowicz and published by Packt Publishing Ltd. This book was released on 2017-06-28 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 90 recipes that leverage the powerful features of the Standard Library in C++17 About This Book Learn the latest features of C++ and how to write better code by using the Standard Library (STL). Reduce the development time for your applications. Understand the scope and power of STL features to deal with real-world problems. Compose your own algorithms without forfeiting the simplicity and elegance of the STL way. Who This Book Is For This book is for intermediate-to-advanced C++ programmers who want to get the most out of the Standard Template Library of the newest version of C++: C++ 17. What You Will Learn Learn about the new core language features and the problems they were intended to solve Understand the inner workings and requirements of iterators by implementing them Explore algorithms, functional programming style, and lambda expressions Leverage the rich, portable, fast, and well-tested set of well-designed algorithms provided in the STL Work with strings the STL way instead of handcrafting C-style code Understand standard support classes for concurrency and synchronization, and how to put them to work Use the filesystem library addition available with the C++17 STL In Detail C++ has come a long way and is in use in every area of the industry. Fast, efficient, and flexible, it is used to solve many problems. The upcoming version of C++ will see programmers change the way they code. If you want to grasp the practical usefulness of the C++17 STL in order to write smarter, fully portable code, then this book is for you. Beginning with new language features, this book will help you understand the language's mechanics and library features, and offers insight into how they work. Unlike other books, ours takes an implementation-specific, problem-solution approach that will help you quickly overcome hurdles. You will learn the core STL concepts, such as containers, algorithms, utility classes, lambda expressions, iterators, and more, while working on practical real-world recipes. These recipes will help you get the most from the STL and show you how to program in a better way. By the end of the book, you will be up to date with the latest C++17 features and save time and effort while solving tasks elegantly using the STL. Style and approach This recipe-based guide will show you how to make the best use of C++ together with the STL to squeeze more out of the standard language

The Algorithm Design Manual

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Publisher : Springer Science & Business Media
ISBN 13 : 1848000707
Total Pages : 742 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis The Algorithm Design Manual by : Steven S Skiena

Download or read book The Algorithm Design Manual written by Steven S Skiena and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

Python Projects for Beginners

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Publisher : Apress
ISBN 13 : 1484253558
Total Pages : 351 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Python Projects for Beginners by : Connor P. Milliken

Download or read book Python Projects for Beginners written by Connor P. Milliken and published by Apress. This book was released on 2019-11-15 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Immerse yourself in learning Python and introductory data analytics with this book’s project-based approach. Through the structure of a ten-week coding bootcamp course, you’ll learn key concepts and gain hands-on experience through weekly projects. Each chapter in this book is presented as a full week of topics, with Monday through Thursday covering specific concepts, leading up to Friday, when you are challenged to create a project using the skills learned throughout the week. Topics include Python basics and essential intermediate concepts such as list comprehension, generators and iterators, understanding algorithmic complexity, and data analysis with pandas. From beginning to end, this book builds up your abilities through exercises and challenges, culminating in your solid understanding of Python. Challenge yourself with the intensity of a coding bootcamp experience or learn at your own pace. With this hands-on learning approach, you will gain the skills you need to jumpstart a new career in programming or further your current one as a software developer. What You Will Learn Understand beginning and more advanced concepts of the Python languageBe introduced to data analysis using pandas, the Python Data Analysis libraryWalk through the process of interviewing and answering technical questionsCreate real-world applications with the Python languageLearn how to use Anaconda, Jupyter Notebooks, and the Python Shell Who This Book Is For Those trying to jumpstart a new career into programming, and those already in the software development industry and would like to learn Python programming.

Developing Analytic Talent

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Publisher : John Wiley & Sons
ISBN 13 : 1118810090
Total Pages : 336 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Developing Analytic Talent by : Vincent Granville

Download or read book Developing Analytic Talent written by Vincent Granville and published by John Wiley & Sons. This book was released on 2014-03-24 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.

Introduction to Computing

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Publisher :
ISBN 13 : 9780983455752
Total Pages : 300 pages
Book Rating : 4.4/5 (557 download)

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Book Synopsis Introduction to Computing by : David Evans

Download or read book Introduction to Computing written by David Evans and published by . This book was released on 2011-12-07 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Computing is a comprehensive text designed for the CS0 (Intro to CS) course at the college level. It may also be used as a primary text for the Advanced Placement Computer Science course at the high school level.

Dive Into Deep Learning

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Publisher : Corwin Press
ISBN 13 : 1544385404
Total Pages : 297 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Dive Into Deep Learning by : Joanne Quinn

Download or read book Dive Into Deep Learning written by Joanne Quinn and published by Corwin Press. This book was released on 2019-07-15 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society. Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples. It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning. Put the joy back into learning for students and adults alike. Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself.

Computational Fairy Tales

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Author :
Publisher : Jeremy Kubica
ISBN 13 :
Total Pages : 199 pages
Book Rating : 4./5 ( download)

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Book Synopsis Computational Fairy Tales by : Jeremy Kubica

Download or read book Computational Fairy Tales written by Jeremy Kubica and published by Jeremy Kubica. This book was released on 2012 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Introduces principles of computational thinking, illustrating high-level computer science concepts, the motivation behind them, and their application in a non-computer fairy tale domain."--Amazon.com.

It's Complicated

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Publisher : Yale University Press
ISBN 13 : 0300166311
Total Pages : 296 pages
Book Rating : 4.3/5 (1 download)

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Book Synopsis It's Complicated by : Danah Boyd

Download or read book It's Complicated written by Danah Boyd and published by Yale University Press. This book was released on 2014-02-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveys the online social habits of American teens and analyzes the role technology and social media plays in their lives, examining common misconceptions about such topics as identity, privacy, danger, and bullying.

Numerical Linear Algebra with Julia

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Publisher : SIAM
ISBN 13 : 1611976553
Total Pages : 420 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Numerical Linear Algebra with Julia by : Eric Darve

Download or read book Numerical Linear Algebra with Julia written by Eric Darve and published by SIAM. This book was released on 2021-09-02 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Linear Algebra with Julia provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient. Julia code is provided to illustrate concepts and allow readers to explore methods on their own. Written in a friendly and approachable style, the book contains detailed descriptions of algorithms along with illustrations and graphics that emphasize core concepts and demonstrate the algorithms. Numerical Linear Algebra with Julia is a textbook for advanced undergraduate and graduate students in most STEM fields and is appropriate for courses in numerical linear algebra. It may also serve as a reference for researchers in various fields who depend on numerical solvers in linear algebra.

Introduction to Embedded Systems, Second Edition

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Publisher : MIT Press
ISBN 13 : 0262340526
Total Pages : 562 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Introduction to Embedded Systems, Second Edition by : Edward Ashford Lee

Download or read book Introduction to Embedded Systems, Second Edition written by Edward Ashford Lee and published by MIT Press. This book was released on 2017-01-06 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Biostatistics

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Publisher : Wiley
ISBN 13 : 1119282373
Total Pages : 720 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Biostatistics by : Wayne W. Daniel

Download or read book Biostatistics written by Wayne W. Daniel and published by Wiley. This book was released on 2018-11-13 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

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Publisher : W. W. Norton & Company
ISBN 13 : 0393239357
Total Pages : 320 pages
Book Rating : 4.3/5 (932 download)

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Book Synopsis The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies by : Erik Brynjolfsson

Download or read book The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies written by Erik Brynjolfsson and published by W. W. Norton & Company. This book was released on 2014-01-20 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").