You Choose Flip Me 1 2

"You choose . . . In The Treasure of Dead Man's Cove will you discover wealth beyond your wildest dreams or a deadly pirate's curse? And in Mayhem at Magic School will you become supreme ruler of the world or suffer misfortune for life? " --Publisher's website.

Two action-packed stories, hundreds of different endings, in one flip book! YOU CHOOSE . . . In Maze of Doom will you succeed as master of the maze or spend eternity in a nightmare labyrinth? And in The Haunting of Spook House will you become a ghost hunter extraordinaire or a lost soul forever?

Ellsberg elaborates on "Risk, Ambiguity, and the Savage Axioms" and mounts a powerful challenge to the dominant theory of rational decision in this book.

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. • A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors. • A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. • A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. • A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know. Instructor resources include a full set of model solutions for all problems, and an Instructor's Manual with accompanying presentation slides.

Create This Book is the ultimate outlet for creativity. Includes 242 pages of unique and inspiring prompts to get you in the creative zone! Whether you are trying to get past an artist's block, wanting to become more creative, or just looking to have some fun, you will love this interactive journal! Want to learn more? Check out "Create This Book" on Youtube! You can watch Moriah Elizabeth's "Create This Book" Series! Great for inspiration and guidance on your creative journey! Go to MoriahElizabeth.com for more information.

Can a renowned mathematician successfully outwit the stock market? Not when his biggest investment is WorldCom. In A Mathematician Plays the Stock Market , best-selling author John Allen Paulos employs his trademark stories, vignettes, paradoxes, and puzzles to address every thinking reader's curiosity about the market -- Is it efficient? Is it random? Is there anything to technical analysis, fundamental analysis, and other supposedly time-tested methods of picking stocks? How can one quantify risk? What are the most common scams? Are there any approaches to investing that truly outperform the major indexes? But Paulos's tour through the irrational exuberance of market mathematics doesn't end there. An unrequited (and financially disastrous) love affair with WorldCom leads Paulos to question some cherished ideas of personal finance. He explains why "data mining" is a self-fulfilling belief, why "momentum investing" is nothing more than herd behavior with a lot of mathematical jargon added, why the ever-popular Elliot Wave Theory cannot be correct, and why you should take Warren Buffet's "fundamental analysis" with a grain of salt. Like Burton Malkiel's A Random Walk Down Wall Street , this clever and illuminating book is for anyone, investor or not, who follows the markets -- or knows someone who does.

Most of us know that loving ourselves would be a good idea, but we have no clue what that really means. Self-love feels too vast, too esoteric, and frankly like something you should keep under wraps. This breakthrough book on self-love changes all that by taking you beyond the idea of loving, valuing, and caring for yourself into daring acts that will help you experience it. Christine Arylo provides practical, fun ways to explore and embody the ten branches of self-love every day and in every part of your life. Reading this book is like receiving permission to treat yourself as a best friend would. Imagine having the power to: * Give to yourself first, without guilt * Shower yourself with loving words instead of criticism and comparison * Go for your dreams with conviction and courage * Choose the situations and relationships that make you happiest * Discover and explore your deepest thoughts and desires — and act on them

My name is Amber Reynolds. There are three things you should know about me: 1. I’m in a coma. 2. My husband doesn’t love me anymore. 3. Sometimes I lie. Amber wakes up in a hospital. She can’t move. She can’t speak. She can’t open her eyes. She can hear everyone around her, but they have no idea. Amber doesn’t remember what happened, but she has a suspicion her husband had something to do with it. Alternating between her paralyzed present, the week before her accident, and a series of childhood diaries from twenty years ago, this brilliant psychological thriller asks: Is something really a lie if you believe it's the truth?