Fooling Houdini: Magicians, Mentalists, Math Geeks, and the Hidden Powers of the Mind


Alex Stone - 2011
    By investing some of the lesser-known corners of psychology, neuroscience, physics, history, and even crime, all through the lens of trickery and illusion, Fooling Houdini arrives at a host of startling revelations about how the mind works--and why, sometimes, it doesn’t.

Bittman's Kitchen: What I Grill and Why (Kindle Single)


Mark Bittman - 2011
    These are the essentials, the ones that Bittman goes back to time and again. Easy and accessible, each of these is a delicious excuse to grab a spatula and head outside. And, each is accompanied by short essay written in Bittman's trademark conversational style--so you feel like he's right there with you at the grill, sharing a story while the coals heat up. With this must-have grilling collection, Bittman also serves up a short but comprehensive guide to the grill, including how to get started, how to master doneness, what to grill, and what to keep in the pantry to make planning simple. Whether you cook everyday or pick up a set of tongs only on holiday weekends, these recipes are the ones you'll want to have on hand all summer long.

Discrete Mathematics


Richard Johnsonbaugh - 1984
    Focused on helping students understand and construct proofs and expanding their mathematical maturity, this best-selling text is an accessible introduction to discrete mathematics. Johnsonbaugh's algorithmic approach emphasizes problem-solving techniques. The Seventh Edition reflects user and reviewer feedback on both content and organization.

Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees


Chris Smith - 2017
     They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk. Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact. This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own machine learning algorithms in Python, this book is for you.

How the Universe Got Its Spots: Diary of a Finite Time in a Finite Space


Janna Levin - 2002
    For even as she sets out to determine how big “really big” may be, Levin gives us an intimate look at the day-to-day life of a globe-trotting physicist, complete with jet lag and romantic disturbances.Nimbly synthesizing geometry, topology, chaos and string theories, Levin shows how the pattern of hot and cold spots left over from the big bang may one day reveal the size and shape of the cosmos. She does so with such originality, lucidity—and even poetry—that How the Universe Got Its Spots becomes a thrilling and deeply personal communication between a scientist and the lay reader.

Math Potatoes: Mind-stretching Brain Food


Greg Tang - 2005
    By solving challenges that encourage kids to "group" numbers rather than memorize formulas, even the most reluctant math learners are inspired to see math in a whole new way! Math Potatoes is full of Tang and Briggs' trademark humor, wit, and extraordinary creativity. Tang has proven over and over that math can be fun, and this new addition to his acclaimed series of mind-stretching math riddles is sure to be another hit.

Algebra & Geometry: Anything But Square!


Dan Green - 2011
    Meet Polygon and Plane, Reflection and Rotation, Odd Number and his buddy Even Number and the three amigos Sine, Cosine and Tangent. Discover the secrets of their world and how they like to throw their numbers about. Bringing his charming manga-style artwork and tongue-and-cheek approach to explaining the basics, Basher brings a whole new spin to the world of higher math.

Best Practice: Bringing Standards to Life in America's Classrooms


Steven Zemelman - 2012
    But what does quality mean? What does it look like in real classrooms? It looks like the teaching in this book. -Steven Zemelman, Harvey Smokey Daniels, and Arthur Hyde Best Practice is back, and with it Steve Zemelman, Smokey Daniels, and Arthur Hyde invite you to greet today's most important educational challenges with proven, state-of-the-art teaching. Linguistic diversity, technology, Common Core, high-stakes testing-no matter the hurdle, Best Practice teaching supports powerful learning across our profession. Best Practice , Fourth Edition, is the ultimate guide to teaching excellence. Its framework of seven Best Practice Structures and cutting-edge implementation strategies are proven across the grades and subject areas. BP4 creates common ground for teachers, leaders, and principals by recommending practices drawn from the latest scientific research, professional consensus, and the innovative classrooms of exemplary teachers.BP4 puts top-quality teaching at the fingertips of individual practitioners by sharing real-life instructional scenes that define classroom excellence, increase learning, and improve students' life opportunities. It's also more valuable than ever to PLCs and school reform initiatives thanks to:plans and strategies for exceeding state and Common Core Standards cohesive principles and common language that strengthen professional collaboration classroom vignettes that show teachers and kids at work chapters on reading, writing, math, science, and social studies that support unified instructional goals special attention to technology in the classroom, special education, ELLs, struggling readers, and the arts. This new educational era demands highly-effective, high-quality instruction that makes a difference for students. Fortunately with Zemelman, Daniels, and Hyde's help every educator can be a world-class, life-changing teacher-a Best Practice teacher.

How to Think Clearly: A Guide to Critical Thinking


Doug Erlandson - 2012
    Dr. Doug Erlandson draws on concrete examples of good and bad reasoning from the political and social realm and everyday life to make his points in a sometimes lighthearted but always meaningful way. Here's a Preview of What's in the Book Identifying the differences between good and bad arguments Avoiding fallacies Creating good explanations Assessing probabilities Recognizing that statistics and numbers can lie ˃˃˃ Here's How You Benefit How to Think Clearly gives you the tools you need to critically assess the claims and counterclaims with which you are bombarded by politicians, pundits, commentators and editors, as well as coworkers, friends and family, and will aid you in developing skills to present your view in ways that are clear, coherent, sensible and persuasive. ˃˃˃ Suitable as a classroom text and for independent study How to Think Clearly is easy to understand and suitable for independent study. At the same time it offers the content and intellectual rigor that you would expect in a text for an introductory college-level course in critical thinking. ˃˃˃ What Others Are Saying About How to Think Clearly: A Guide to Critical Thinking Dr. Erlandson has given a wonderful introduction to good critical thinking: how to recognize good and bad arguments, helpful and non-helpful explanations, the ways that numbers can be manipulated. You can tell that he must be a good teacher. (G. Feltner)The author offers a refuge of reason within our culture of disregard for open-mindedness and rational discourse where the popular debate of serious issues or ideas is often a shouting match from the margins. (Cubs Fan)A great read for anyone who is new to logic and critical thinking, or someone who just wants to review and refresh their knowledge. (Paul D.) Scroll up and grab a copy today.

Machine Learning: A Probabilistic Perspective


Kevin P. Murphy - 2012
    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Plastic Cameras: Toying with Creativity


Michelle Bates - 2006
    Whether you're an experienced enthusiast or toy camera neophyte, you'll find Plastic Cameras: Toying with Creativity chock full of tantalizing tips, fun facts and, of course, absolutely striking photographs taken with the lowest tech and simplest tools around. I got me a Holga. Now What? Holgas need a little TLC before they're ready to go out in the world and start snapping. Plastic Cameras: Toying with Creativity digs through all the different Holga models available, lays out thier advantages and quirks and helps you get up to speed on all the prep you'll need to do to jump in on the toy-camera revolution. What should I Feed my Holga? Holgas, Dianas, other toy cameras can use many types of film. Plastic Cameras: Toying with Creativity, lays all their pros and cons on the line letting you get some images you want, and some you could just never imagine. Can Holga come out to play?Plastic Cameras: Toying with Creativity will help you steer your way through all the details and quirks of taking wonderful and weird pictures with your toy camera. We'll explore possible subjects and the best way to shoot them and play with all sorts of techniques from vignetting, to multiple exposures, to panoramas, close-ups, movement, night photography, flare, flash, color and more. For the Intrepid Holga-ographerFor the Holga master, we've diagramed and described advanced toy camera modifications and introduce you to a variety of problems, solutions and inventions born from toy cameras' "limitations." What Next?From negatives to prints or pixels, we help you navigate your post-shooting choices.Don't ForgetThe Diana, Banner, Action Sampler, Photo Blaster, and Lensbaby are all toy cameras with their own loveable qualities. We'll look beyond the Holga to show a whole wide world of toys. Artists Artists in this book include: Michael AckermanJonathan BaileyEric Havelock-BaillieJames BalogBetsy BellSusan BowenLaura BurltonDavid BurnettNancy BursonPerry DilbeckJill EnfieldAnnette FournetMegan GreenWesley KennedyTeru KuwayamaMary Ann LynchAnne Arden McDonaldDaniel MillerTed OrlandRobert OwenBecky RamotowskiNancy RexrothFrancisco Mata RosasRichard RossFranco SalmoiraghiMichael SherwinHarvey SteinGordon StettiniusMark SinkKurt SmithSandy SorlienPauline St. Denis;-p r a b u!

Probabilistic Graphical Models: Principles and Techniques


Daphne Koller - 2009
    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Introduction to Quantum Mechanics with Applications to Chemistry


Linus Pauling - 1985
    Numerous tables and figures.

Folding Techniques for Designers: From Sheet to Form (How to fold paper and other materials for design projects)


Paul Jackson - 2011
    This unique book explains the key techniques of folding, such as pleated surfaces, curved folding and crumpling. An elegant, practical handbook, it covers over 70 techniques explained by clear step-by-step drawings, crease-pattern drawings, and specially commissioned photography.

The Apocalyptic Vision and the Neutering of Adventism


George R. Knight - 2008
    Book Specs Paper BackPublisher: Review & Herald Publishing AssociationPages: 107 Table of Contents