Book picks similar to
Algebra II For Dummies by Mary Jane Sterling
math
for-dummies
nonfiction
science
The Heart of Mathematics: An Invitation to Effective Thinking
Edward B. Burger - 1999
In this new, innovative overview textbook, the authors put special emphasis on the deep ideas of mathematics, and present the subject through lively and entertaining examples, anecdotes, challenges and illustrations, all of which are designed to excite the student's interest. The underlying ideas include topics from number theory, infinity, geometry, topology, probability and chaos theory. Throughout the text, the authors stress that mathematics is an analytical way of thinking, one that can be brought to bear on problem solving and effective thinking in any field of study.
The Mind Map Book: How to Use Radiant Thinking to Maximize Your Brain's Untapped Potential
Tony Buzan - 1993
Now, in his most comprehensive book yet on the topic, Buzan reveals exciting new ways to improve one's memory, concentration, creativity, ability to learn, and more.
400 Must-Have Words for the TOEFL
Lynn Stafford-Yılmaz - 2005
Based on the authors' years of experience as ESL teachers and their rigorous review of past exams, this book offers proven vocabulary-building activities and exercises. Appropriate for students pursuing all academic disciplines, it features: -400 words in key categories, including food, computers, society, history, finance, politics, friendship, science, the arts, and more-Many skill-building activities and exercises, including paraphrasing, synonym and antonym matching, and prefix and suffix identification-Proven strategies for incorporating new words into everyday vocabulary-Special sections on synonyms, roots, prefixes and suffixes, and sentence structure
Data Smart: Using Data Science to Transform Information into Insight
John W. Foreman - 2013
Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.
Horses For Dummies
Audrey Pavia - 1999
Featuring updates on breeds, boarding, nutrition, equipment, training, and riding, as well as new information on various equine conditions, this resource shows you how to keep your horse happy - and take your riding skills to the next level. Discover how to * Select the right horse for you * Feed, groom, and handle your horse * Recognize common horse ailments * Have fun in the saddle * Get involved in equestrian competitions
It Must Be Beautiful: Great Equations of Modern Science
Graham Farmelo - 2002
Contributors include Steven Weinberg, Peter Galison, John Maynard Smith, and Frank Wilczek.
Prisoner's Dilemma: John von Neumann, Game Theory, and the Puzzle of the Bomb
William Poundstone - 1992
Though the answers may seem simple, their profound implications make the prisoner's dilemma one of the great unifying concepts of science. Watching players bluff in a poker game inspired John von Neumann--father of the modern computer and one of the sharpest minds of the century--to construct game theory, a mathematical study of conflict and deception. Game theory was readily embraced at the RAND Corporation, the archetypical think tank charged with formulating military strategy for the atomic age, and in 1950 two RAND scientists made a momentous discovery.Called the prisoner's dilemma, it is a disturbing and mind-bending game where two or more people may betray the common good for individual gain. Introduced shortly after the Soviet Union acquired the atomic bomb, the prisoner's dilemma quickly became a popular allegory of the nuclear arms race. Intellectuals such as von Neumann and Bertrand Russell joined military and political leaders in rallying to the preventive war movement, which advocated a nuclear first strike against the Soviet Union. Though the Truman administration rejected preventive war the United States entered into an arms race with the Soviets and game theory developed into a controversial tool of public policy--alternately accused of justifying arms races and touted as the only hope of preventing them.A masterful work of science writing, Prisoner's Dilemma weaves together a biography of the brilliant and tragic von Neumann, a history of pivotal phases of the cold war, and an investigation of game theory's far-reaching influence on public policy today. Most important, Prisoner's Dilemma is the incisive story of a revolutionary idea that has been hailed as a landmark of twentieth-century thought.
Bookkeeping For Dummies
Lita Epstein - 2005
People both inside and outside the business all depend on a bookkeeper's accurate recordings. Bookkeeping For Dummies provides the easy and painless way to master this crucial art. You'll be able to manage your own finances to save money and grow your business. This straightforward, no-nonsense guide shows you the basics of bookkeeping--from recording transactions to producing balance sheets and year-end reports. Discover how to:Outline your financial road map with a chart of accounts Keep journals of cash transactions Set up your computerized books Control your books, your records, and your money Buy and track your purchases Record sales returns and allowances Determine your employee [is "employee" necessary here?] staff's net pay Maintain employee records Prepare your books for year's end Report results and start over Produce an income statement Complete year-end payroll and reports This guide features tips and tricks for managing your business cash with your books and also profiles important accounts for any bookkeeper. There's no question that bookkeepers must be detail-oriented, meticulous, and accurate. Bookkeeping For Dummies shows you how to keep track of your business's financial well-being and ensure future success!
The Pig That Wants to Be Eaten: 100 Experiments for the Armchair Philosopher
Julian Baggini - 2005
Taking examples from sources as diverse as Plato and Steven Spielberg, author Julian Baggini presents abstract philosophical issues in concrete terms, suggesting possible solutions while encouraging readers to draw their own conclusions: Lively, clever, and thought-provoking, The Pig That Wants to Be Eaten is a portable feast for the mind that is sure to satisfy any intellectual appetite.
Calculus: An Intuitive and Physical Approach
Morris Kline - 1967
In-depth explorations of the derivative, the differentiation and integration of the powers of x, and theorems on differentiation and antidifferentiation lead to a definition of the chain rule and examinations of trigonometric functions, logarithmic and exponential functions, techniques of integration, polar coordinates, much more. Clear-cut explanations, numerous drills, illustrative examples. 1967 edition. Solution guide available upon request.
Why Does E=mc²? (And Why Should We Care?)
Brian Cox - 2009
Breaking down the symbols themselves, they pose a series of questions: What is energy? What is mass? What has the speed of light got to do with energy and mass? In answering these questions, they take us to the site of one of the largest scientific experiments ever conducted. Lying beneath the city of Geneva, straddling the Franco-Swiss boarder, is a 27 km particle accelerator, known as the Large Hadron Collider. Using this gigantic machine—which can recreate conditions in the early Universe fractions of a second after the Big Bang—Cox and Forshaw will describe the current theory behind the origin of mass.Alongside questions of energy and mass, they will consider the third, and perhaps, most intriguing element of the equation: 'c' - or the speed of light. Why is it that the speed of light is the exchange rate? Answering this question is at the heart of the investigation as the authors demonstrate how, in order to truly understand why E=mc2, we first must understand why we must move forward in time and not backwards and how objects in our 3-dimensional world actually move in 4-dimensional space-time. In other words, how the very fabric of our world is constructed. A collaboration between two of the youngest professors in the UK, Why Does E=mc2? promises to be one of the most exciting and accessible explanations of the theory of relativity in recent years.
Our Mathematical Universe: My Quest for the Ultimate Nature of Reality
Max Tegmark - 2012
Our Big Bang, our distant future, parallel worlds, the sub-atomic and intergalactic - none of them are what they seem. But there is a way to understand this immense strangeness - mathematics. Seeking an answer to the fundamental puzzle of why our universe seems so mathematical, Tegmark proposes a radical idea: that our physical world not only is described by mathematics, but that it is mathematics. This may offer answers to our deepest questions: How large is reality? What is everything made of? Why is our universe the way it is?Table of ContentsPreface 1 What Is Reality? Not What It Seems • What’s the Ultimate Question? • The Journey Begins Part One: Zooming Out 2 Our Place in Space Cosmic Questions • How Big Is Space? • The Size of Earth • Distance to the Moon • Distance to the Sun and the Planets • Distance to the Stars • Distance to the Galaxies • What Is Space? 3 Our Place in TimeWhere Did Our Solar System Come From? • Where Did theGalaxies Come From? • Where Did the Mysterious MicrowavesCome From? • Where Did the Atoms Come From? 4 Our Universe by NumbersWanted: Precision Cosmology • Precision Microwave-Background Fluctuations • Precision Galaxy Clustering • The Ultimate Map of Our Universe • Where Did Our Big Bang Come From? 5 Our Cosmic Origins What’s Wrong with Our Big Bang? • How Inflation Works • The Gift That Keeps on Giving • Eternal Inflation 6 Welcome to the Multiverse The Level I Multiverse • The Level II Multiverse • Multiverse Halftime Roundup Part Two: Zooming In 7 Cosmic Legos Atomic Legos • Nuclear Legos • Particle-Physics Legos • Mathematical Legos • Photon Legos • Above the Law? • Quanta and Rainbows • Making Waves • Quantum Weirdness • The Collapse of Consensus • The Weirdness Can’t Be Confined • Quantum Confusion 8 The Level III Multiverse The Level III Multiverse • The Illusion of Randomness • Quantum Censorship • The Joys of Getting Scooped • Why Your Brain Isn’t a Quantum Computer • Subject, Object and Environment • Quantum Suicide • Quantum Immortality? • Multiverses Unified • Shifting Views: Many Worlds or Many Words? Part Three: Stepping Back 9 Internal Reality, External Reality and Consensus Reality External Reality and Internal Reality • The Truth, the Whole Truth and Nothing but the Truth • Consensus Reality • Physics: Linking External to Consensus Reality 10 Physical Reality and Mathematical Reality Math, Math Everywhere! • The Mathematical Universe Hypothesis • What Is a Mathematical Structure? 11 Is Time an Illusion? How Can Physical Reality Be Mathematical? • What Are You? • Where Are You? (And What Do You Perceive?) • When Are You? 12 The Level IV Multiverse Why I Believe in the Level IV Multiverse • Exploring the Level IV Multiverse: What’s Out There? • Implications of the Level IV Multiverse • Are We Living in a Simulation? • Relation Between the MUH, the Level IV Multiverse and Other Hypotheses •Testing the Level IV Multiverse 13 Life, Our Universe and Everything How Big Is Our Physical Reality? • The Future of Physics • The Future of Our Universe—How Will It End? • The Future of Life •The Future of You—Are You Insignificant? Acknowledgments Suggestions for Further Reading Index
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie - 2001
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.
Unlimited Memory: How to Use Advanced Learning Strategies to Learn Faster, Remember More and be More Productive (Mental Mastery Book 1)
Kevin Horsley - 2014
And You're About to Learn How to Use His Memory Strategies to Learn Faster, Be More Productive and Achieve More Success Most people never tap into 10% of their potential for memory. In this book, you're about to learn: How the World's Top Memory Experts Concentrate and Remember Any Information at Will, and How You Can Too Do you ever feel like you're too busy, too stressed or just too distracted to concentrate and get work done? In Unlimited Memory, you'll learn how the world's best memory masters get themselves to concentrate at will, anytime they want. When you can easily focus and concentrate on the task at hand, and store and recall useful information, you can easily double your productivity and eliminate wasted time, stress and mistakes at work. In this book, you'll find all the tools, strategies and techniques you need to improve your memory. About the Author For over 20 years, KEVIN HORSLEY has been analyzing the mind and memory and its capacity for brilliance. He is one of only a few people in the world to have received the title International Grandmaster of Memory. He is a World Memory Championship medalist, and a two-time World Record holder for The Everest of memory tests. Kevin is also an author of four books, and the designer of a times table game with the Serious Games Institute at North-West University Vaal Campus. Kevin is a professional speaker, and assists organizations in improving their learning, motivation, creativity, and thinking.