Why, he wondered, do we inflict a full menu of mathematics—algebra, geometry, trigonometry, even calculus—on all young Americans, regardless of their interests or aptitudes?The Math Myth expands Hacker’s scrutiny of many widely held assumptions, like the notions that mathematics broadens our minds, that mastery of azimuths and asymptotes will be needed for most jobs, that the entire Common Core syllabus should be required of every student. He worries that a frenzied emphasis on STEM is diverting attention from other pursuits and subverting the spirit of the country.In fact, Hacker honors mathematics as a calling (he has been a professor of mathematics) and extols its glories and its goals. Yet he shows how mandating it for everyone prevents other talents from being developed and acts as an irrational barrier to graduation and careers. He proposes alternatives, including teaching facility with figures, quantitative reasoning, and understanding statistics.The Math Myth is sure to spark a heated and needed national conversation not just about mathematics but about the kind of people and society we want to be.

    Scott McCloud's Understanding Comics is a seminal examination of comics art: its rich history, surprising technical components, and major cultural significance. Explore the secret world between the panels, through the lines, and within the hidden symbols of a powerful but misunderstood art form.

    Based on the popular webcomic Bird and Moon, this collection does for biology what XKCD does for math and Hark! A Vagrant does for history.

    About The Author: Henry Gray, F.R.S., Fellow of the royal college of Surgeons: Lecturer on anatomy at St. George?s Hospital Medical School. Table Of Contents: Descriptive and Surgical Anatomy The Articulations Muscles and Fasclae The Blood-vascular system The Lymphatics The Nervous system The Organs of special sense The Organs of Digestion The Organs of voice and respiration The urinary organs The Male Organs of Generation The Female Organs of Generation The Surgical Anatomy of Hernia Surgical Anatomy of the Perinaeum General Anatomy or Histology Embryology

    Maris Wicks is a biology nerd, and by the time you've read this book, you will be too! Harnessing her passion for science (and her background as a science educator for elementary and middle-school students), she has created a comics-format introduction to the human body that will make an expert of any reader -- young or old!

    Schulz and his art, providing an unprecedented look at the work of the most brilliant and beloved cartoonist of the twentieth century. Here is the whole gang–Charlie Brown, Lucy, Linus, Snoopy, Peppermint Patty, Schroeder, Pig-Pen, and all the others from the original Peanuts strips.More than five hundred comic strips are reproduced, as well as such rare or never-before-seen items as a sketchbook from Schulz's army days in the early 1940s; his very first printed strip, Just Keep Laughing; his private scrapbook of pre-Peanuts Li'l Folks strips; developmental sketches for the first versions of Charlie Brown and the other Peanuts characters; a sketchbook from 1963; and many more materials gathered from the Schulz archives in Santa Rosa, California.The art has been stunningly photographed by Geoff Spear in full color, capturing the subtle textures of paper, ink, and line. The strips–which were shot only from the original art or vintage newsprint–reveal how, from the 1950s through 2000, Schulz's style and the Peanuts world evolved. The book features an introduction by Jean Schulz and has been designed and edited by renowned graphic artist Chip Kidd, who also provides an informed and appreciative commentary. This celebration of the genius of the most revered cartoonist of our time is a must for anyone who has ever come under the spell of Peanuts.From the Hardcover edition.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    Sold in over 85 countries and translated into more than 5 languages.---------------Want to get started on data science?Our promise: no math added.This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:- A/B Testing- Anomaly Detection- Association Rules- Clustering- Decision Trees and Random Forests- Regression Analysis- Social Network Analysis- Neural NetworksFeatures:- Intuitive explanations and visuals- Real-world applications to illustrate each algorithm- Point summaries at the end of each chapter- Reference sheets comparing the pros and cons of algorithms- Glossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

    Fans of Poorly Drawn Lines, Liz Climo, Randall Munroe, and The Oatmeal will love this riotous collection marking the return of optimistic Heart and analytical Brain with over 60 brand-new, never-before-seen comics.Vigorously demanded and highly anticipated, Heart and Brain: Gut Instincts is the follow-up to the tremendously popular New York Times bestseller, Heart and Brain: An Awkward Yeti Collection.The Awkward Yeti's Heart and Brain comics perfectly illustrate the ongoing, internal struggle betwixt head and heart.

    The professor loved it. Baffled by the praise his classmate receives, and intent on becoming an artist on his own terms, Adam plots his escape to Portland, Oregon to begin his life in the real world--only to realize that adulthood is a lot harder than it looks. Based on the blog of the same name, Book of Adam details Adam's hilarious trials and tribulations in his attempt to become a functioning member of society. From his arrest after shoplifting a bottle of chocolate milk to a misguided attempt to make friends that lands him in a shack with a hippie couple who have just skinned a rabbit and are trying to entice him into a three-some, Adam is an amicable guy who can't seem to keep himself out of trouble. Paired with his signature black and white illustrations, Adam's stories weave together an uproariously funny and ultimately charming narrative about a young man trying to find his place in the world.

    Based on the wildly popular eponymous Tumblr, Deep Dark Fears explores our odd, creepy, and hilariously singular fears. Animator, illustrator, and cartoonist Fran Krause brings these fears to life in vividly illustrated comics based on real fears submitted by readers (plus a few of his own). These "deep dark fears" run the gamut from unlikely but plausible to completely ridiculous, highlighting both our deeply human similarities and our peculiar uniquenesses.

    (The also-rans that year included Tom Wolfe, Verlyn Klinkenborg, and Oliver Sacks.) Hayes's work in this genre has also appeared in such anthologies as The Best American Magazine Writing, The Best American Science and Nature Writing, and The Norton Reader. Here he offers us a selection of his most memorable and accessible pieces--including "Clock of Ages"--embellishing them with an overall, scene-setting preface, reconfigured illustrations, and a refreshingly self-critical "Afterthoughts" section appended to each essay.

    Aczel turns his sights on probability theory -- the branch of mathematics that measures the likelihood of a random event. He explains probability in clear, layman's terms, and shows its practical applications. What is commonly called luck has mathematical roots and in Chance, you'll learn to increase your odds of success in everything from true love to the stock market. For thousands of years, the twin forces of chance and mischance have beguiled humanity like none other. Why does fortune smile on some people, and smirk on others? What is luck, and why does it so often visit the undeserving? How can we predict the random events happening around us? Even better, how can we manipulate them? In this delightful and lucid voyage through the realm of the random, Dr. Aczel once again makes higher mathematics intelligible to us.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates