Best Selling Books in Professional Science - Mathematics

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release date: Jun 07, 2011
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Outliers: The Story of Success
In this stunning new book, Malcolm Gladwell takes us on an intellectual journey through the world of "outliers"--the best and the brightest, the most famous and the most successful. He asks the question: what makes high-achievers different?

His answer is that we pay too much attention to what successful people are like, and too little attention to where they are from: that is, their culture, their family, their generation, and the idiosyncratic experiences of their upbringing. Along the way he explains the secrets of software billionaires, what it takes to be a great soccer player, why Asians are good at math, and what made the Beatles the greatest rock band.

Brilliant and entertaining, Outliers is a landmark work that will simultaneously delight and illuminate.
release date: Jun 14, 2016
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Misbehaving: The Making of Behavioral Economics

Winner of the Nobel Prize in Economics

Get ready to change the way you think about economics.

Nobel laureate Richard H. Thaler has spent his career studying the radical notion that the central agents in the economy are humans―predictable, error-prone individuals. Misbehaving is his arresting, frequently hilarious account of the struggle to bring an academic discipline back down to earth―and change the way we think about economics, ourselves, and our world.

Traditional economics assumes rational actors. Early in his research, Thaler realized these Spock-like automatons were nothing like real people. Whether buying a clock radio, selling basketball tickets, or applying for a mortgage, we all succumb to biases and make decisions that deviate from the standards of rationality assumed by economists. In other words, we misbehave. More importantly, our misbehavior has serious consequences. Dismissed at first by economists as an amusing sideshow, the study of human miscalculations and their effects on markets now drives efforts to make better decisions in our lives, our businesses, and our governments.

Coupling recent discoveries in human psychology with a practical understanding of incentives and market behavior, Thaler enlightens readers about how to make smarter decisions in an increasingly mystifying world. He reveals how behavioral economic analysis opens up new ways to look at everything from household finance to assigning faculty offices in a new building, to TV game shows, the NFL draft, and businesses like Uber.

Laced with antic stories of Thaler’s spirited battles with the bastions of traditional economic thinking, Misbehaving is a singular look into profound human foibles. When economics meets psychology, the implications for individuals, managers, and policy makers are both profound and entertaining.

Shortlisted for the Financial Times & McKinsey Business Book of the Year Award

release date: Dec 06, 2016
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Hidden Figures: The American Dream and the Untold Story of the Black Women Mathematicians Who Helped Win the Space Race

The #1 New York Times bestseller

The phenomenal true story of the black female mathematicians at NASA whose calculations helped fuel some of America’s greatest achievements in space. Soon to be a major motion picture starring Taraji P. Henson, Octavia Spencer, Janelle Monae, Kirsten Dunst, and Kevin Costner.

Before John Glenn orbited the earth, or Neil Armstrong walked on the moon, a group of dedicated female mathematicians known as “human computers” used pencils, slide rules and adding machines to calculate the numbers that would launch rockets, and astronauts, into space.

Among these problem-solvers were a group of exceptionally talented African American women, some of the brightest minds of their generation. Originally relegated to teaching math in the South’s segregated public schools, they were called into service during the labor shortages of World War II, when America’s aeronautics industry was in dire need of anyone who had the right stuff. Suddenly, these overlooked math whizzes had a shot at jobs worthy of their skills, and they answered Uncle Sam’s call, moving to Hampton, Virginia and the fascinating, high-energy world of the Langley Memorial Aeronautical Laboratory.

Even as Virginia’s Jim Crow laws required them to be segregated from their white counterparts, the women of Langley’s all-black “West Computing” group helped America achieve one of the things it desired most: a decisive victory over the Soviet Union in the Cold War, and complete domination of the heavens.

Starting in World War II and moving through to the Cold War, the Civil Rights Movement and the Space Race, Hidden Figures follows the interwoven accounts of Dorothy Vaughan, Mary Jackson, Katherine Johnson and Christine Darden, four African American women who participated in some of NASA’s greatest successes. It chronicles their careers over nearly three decades they faced challenges, forged alliances and used their intellect to change their own lives, and their country’s future.


release date: Apr 28, 2017
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Lots of Fun Number Tracing Practice!: Learn numbers 0 to 20!

So much fun, they won't know they're learning!

  • Essential number tracing practice for preschool and kindergarten.
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    release date: Jan 05, 2017
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    R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

    Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.

    Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.

    You’ll learn how to:

    • Wrangle—transform your datasets into a form convenient for analysis
    • Program—learn powerful R tools for solving data problems with greater clarity and ease
    • Explore—examine your data, generate hypotheses, and quickly test them
    • Model—provide a low-dimensional summary that captures true "signals" in your dataset
    • Communicate—learn R Markdown for integrating prose, code, and results
    release date: Sep 01, 2016
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    Barron's SAT Subject Test: Math Level 2, 12th Edition
    This manual opens with a diagnostic test that includes explained answers to help students pinpoint their math strengths and weaknesses. In chapters that follow, detailed topic reviews cover polynomial, trigonometric, exponential, logarithmic, and rational functions; coordinate and three-dimensional geometry; numbers and operations; data analysis, statistics, and probability. Six full-length model tests with answers, explanations, and self-evaluation charts conclude this manual. The manual can be purchased alone or with an optional CD-ROM that presents two additional full-length practice tests with answers, explanations, and automatic scoring.
    release date: Feb 01, 2017
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    Barron's AP Calculus, 14th Edition
    Both Calculus AB and Calculus BC are covered in this comprehensive AP test preparation manual, which has been updated to align with the new curriculum framework taking effect for the 2017 AP Calculus AB and BC exams. The book’s main features include:
    • Four practice exams in Calculus AB and four more in Calculus BC, modified to reflect the new exam format
    • All test questions answered with solutions explained
    • A detailed subject review covering topics for both exams
    • Advice to students on efficient use of their graphing calculators
    BONUS ONLINE PRACTICE TEST: Students who purchase this book will also get FREE access to one additional full-length online AP Calculus test with all questions answered and explained.
    release date: Oct 03, 2017
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    A Hundred Billion Trillion Stars

    “This picture book is one in a gazillion.”—Jane O’Connor, the New York Times–bestselling author of the Fancy Nancy series

    Did you know that the earth is covered in three trillion trees? And that seven billion people weigh about the same as ten quadrillion ants? Our world is full of constantly changing numbers, from a hundred billion trillion stars in space to thirty-seven billion rabbits on Earth. Can you imagine that many of anything?

    The playful illustrations from New York Times–bestselling artist Isabel Greenberg and the friendly, straightforward voice of author Seth Fishman illuminate some of the biggest numbers in the universe—a hundred billion trillion stars—and the smallest—one unique and special YOU. Here is a book for story time, for science time, for math time, for bedtime, and all the times in between.

    Perfect for curious children, classrooms eager for STEM content, and readers who have devoured Ada Twist, Scientist and How Much Is a Million?

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    release date: Nov 02, 2015
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    Mathematical Mindsets: Unleashing Students' Potential through Creative Math, Inspiring Messages and Innovative Teaching
    Banish math anxiety and give students of all ages a clear roadmap to success

    Mathematical Mindsets provides practical strategies and activities to help teachers and parents show all children, even those who are convinced that they are bad at math, that they can enjoy and succeed in math. Jo Boaler—Stanford researcher, professor of math education, and expert on math learning—has studied why students don't like math and often fail in math classes. She's followed thousands of students through middle and high schools to study how they learn and to find the most effective ways to unleash the math potential in all students.

    There is a clear gap between what research has shown to work in teaching math and what happens in schools and at home. This book bridges that gap by turning research findings into practical activities and advice. Boaler translates Carol Dweck's concept of 'mindset' into math teaching and parenting strategies, showing how students can go from self-doubt to strong self-confidence, which is so important to math learning. Boaler reveals the steps that must be taken by schools and parents to improve math education for all. Mathematical Mindsets:

    • Explains how the brain processes mathematics learning
    • Reveals how to turn mistakes and struggles into valuable learning experiences
    • Provides examples of rich mathematical activities to replace rote learning
    • Explains ways to give students a positive math mindset
    • Gives examples of how assessment and grading policies need to change to support real understanding

    Scores of students hate and fear math, so they end up leaving school without an understanding of basic mathematical concepts. Their evasion and departure hinders math-related pathways and STEM career opportunities. Research has shown very clear methods to change this phenomena, but the information has been confined to research journals—until now. Mathematical Mindsets provides a proven, practical roadmap to mathematics success for any student at any age.

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    release date: Sep 01, 2017
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    An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

    An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.

    Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

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