You will spoil the story and your own enjoyment if you read a series in the wrong order and you will miss the development of an author’s writing if you read their books in a helter-skelter fashion. With our original reading list you get the perfect tool to enjoy Agatha Christie’s books the way they where meant to be enjoyed. You can also use the reading list as checklist. Simply use the inbuilt highlight feature to highlight all the books that you have already read. Inside this book you will find a link that will allow you to download three classics for FREE along with three free audiobooks. Enjoy! Note To Readers This is a bibliography. The author and publisher of this book do not guarantee the accuracy and/or completeness of the content within this book and are not liable for damages arising from the use of this book. The bibliography portion of this book can be found in publicly available sources and only includes elements, such as titles and dates of publication, which are not subject to copyright protection. The bibliography is unofficial and not approved, authorized, licensed, or endorsed by any author, publisher, or organization mentioned within it.

    They wanted to know why McCain appealed so much to so many Americans, and particularly why he appealed to the "Young Voters" of America who generally show nothing but apathy. The "Director's Cut" (three times longer than the RS article) is an incisive, funny, thoughtful piece about life on "Bullshit One" -- the nickname for the press bus that followed McCain's Straight Talk Express. This piece becomes ever more relevant, as we discuss what we know, don't know, and don't want to know about the way our political campaigns work.

    Jokes, humor, and comedy come in many forms. Whether it is a few funny jokes, a silly joke book, or a funny movie, we can all benefit from the positive effects of comedy and humor! You'll love this hilarious joke book. Share a funny joke with a friend today! Amazon Prime Members can borrow this book for FREE! 151+ funny yo momma jokes Hilarious yo momma insults and humor Hours of funny jokes and entertainment With this MASSIVE collection of funny yo momma jokes you can make everyone laugh! This ebook full of funny yo momma jokes is perfect for any occasion. You and your friends will laugh for hours at this funny joke book. Uses for funny jokes... Can aid in story-telling Great for conversation starters Improves conversation and social skills Can make others laugh, smile, and be more playful Can lighten tense moods and create rapport with others Are you looking for funny and hilarious yo momma jokes? Yo momma is so fat… she walked in front of the TV and I missed 3 shows! LOL Yo momma is so old… she knew Burger King while he was still a prince! HAHA Yo momma is so short… she can use a sock for a sleeping bag! Funny Yo Momma Jokes! Yo momma is so tall… she tripped over a rock and hit her head on the moon! HAHA Yo momma is so poor… she can't afford to pay attention! LOL Yo momma is so stupid… she sold her car for gas money. Funny Yo Momma Jokes! Yo momma is so ugly… that she scares blind people! HAHA Yo momma is so hairy… you almost died of rug burn at birth! LOL Yo momma is so bald… you can see what’s on her mind. This Hilarious Joke Book has 151+ Funny Jokes About... Yo momma is so fat… Yo momma is so skinny… Yo momma is so old… Yo momma is so short… Yo Momma is so tall… Yo momma is so poor… Yo momma is so stupid… Yo momma is so ugly… Yo momma is so hairy… Yo momma is so bald… Yo momma is so lazy… Other yo momma jokes… LOL Funny Jokes Club The LOL Funny Jokes Club is dedicated to comedy. We'll tickle your funny bone with our side-splitting jokes and humor.

    Since its publication in 1908, it has been a classic work to which successive generations of budding mathematicians have turned at the beginning of their undergraduate courses. In its pages, Hardy combines the enthusiasm of a missionary with the rigor of a purist in his exposition of the fundamental ideas of the differential and integral calculus, of the properties of infinite series and of other topics involving the notion of limit.

    So it's not surprising that we persist in thinking that we're in with a chance, whether we're playing the lottery or working out the likelihood of extra-terrestrial life. In Chance, a (not entirely) random selection of the New Scientist's sharpest minds provide fascinating insights into luck, randomness, risk and probability. From the secrets of coincidence to placing the perfect bet, the science of random number generation to the surprisingly haphazard decisions of criminal juries, it explores these and many other tantalising questions.Following on from the bestselling Nothing and Question Everything, this book will open your eyes to the weird and wonderful world of chance - and help you see when some things, in fact, aren't random at all.

    

    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.

    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.

    An unpopular war. A military and diplomatic team in disarray. Those are the challenges President Obama has faced as he attempts to make a success of U.S involvement in Afghanistan. They are also the challenges President Truman surmounted in the winter of 1950 as he began managing a war in Korea that risked becoming bigger and more costly. It was the first significant armed conflict of the Cold War: United States troops under the command of General Douglas MacArthur came to the aid of the South Koreans after North Korea invaded. When Communist China entered the conflict on the side of the North Koreans, the crisis seemed on the verge of flaring into a world war. Truman was determined not to let that happen. MacArthur kept urging a widening of the war into China itself and ignoring his Commander in Chief. On April 11, 1951, after MacArthur had “shot his mouth off,” as one diplomat put it, one too many times, Truman fired him. The story of their showdown—one of the most dramatic in U.S. history between a Commander in Chief and his top soldier in the field—is captured in all its detail by David McCullough in his biography Truman, and presented here in a e-book called Truman Fires MacArthur (an excerpt of Truman, McCullough’s Pulitzer Prize-winning biography), which was the headline carried in many newspapers around the country the next day. Truman Fires MacArthur will continue to ride the headlines. It will go on sale as an ebook just as the Rolling Stone profile that exposed General Stanley McChrystal’s insurrection and forced his resignation hits newsstands, and media coverage of the showdown continues to draw historical analogies between Truman and Obama.

    

    is the most fun you'll ever have with graphs." -- Bustle Military intelligence analyst and Harvard Law student Tyler Vigen illustrates the golden rule that "correlation does not equal causation" through hilarious graphs inspired by his viral website.Is there a correlation between Nic Cage films and swimming pool accidents? What about beef consumption and people getting struck by lightning? Absolutely not. But that hasn't stopped millions of people from going to tylervigen.com and asking, "Wait, what?" Vigen has designed software that scours enormous data sets to find unlikely statistical correlations. He began pulling the funniest ones for his website and has since gained millions of views, hundreds of thousands of likes, and tons of media coverage. Subversive and clever, Spurious Correlations is geek humor at its finest, nailing our obsession with data and conspiracy theory.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    Nobel laureate Murray Gell-Mann offers a uniquely personal and unifying vision of the relationship between the fundamental laws of physics and the complexity and diversity of the natural world.

    Epstein and Robert L. Axtell approach this age-old question with cutting-edge computer simulation techniques. Such fundamental collective behaviors as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following simple local rules.In their computer model, Epstein and Axtell begin the development of a "bottom up" social science. Their program, named Sugarscape, simulates the behavior of artificial people (agents) located on a landscape of a generalized resource (sugar). Agents are born onto the Sugarscape with a vision, a metabolism, a speed, and other genetic attributes. Their movement is governed by a simple local rule: "look around as far as you can; find the spot with the most sugar; go there and eat the sugar." Every time an agent moves, it burns sugar at an amount equal to its metabolic rate. Agents die if and when they burn up all their sugar. A remarkable range of social phenomena emerge. For example, when seasons are introduced, migration and hibernation can be observed. Agents are accumulating sugar at all times, so there is always a distribution of wealth.Next, Epstein and Axtell attempt to grow a "proto-history" of civilization. It starts with agents scattered about a twin-peaked landscape; over time, there is self-organization into spatially segregated and culturally distinct "tribes" centered on the peaks of the Sugarscape. Population growth forces each tribe to disperse into the sugar lowlands between the mountains. There, the two tribes interact, engaging in combat and competing for cultural dominance, to produce complex social histories with violent expansionist phases, peaceful periods, and so on. The proto-history combines a number of ingredients, each of which generates insights of its own. One of these ingredients is sexual reproduction. In some runs, the population becomes thin, birth rates fall, and the population can crash. Alternatively, the agents may over-populate their environment, driving it into ecological collapse.When Epstein and Axtell introduce a second resource (spice) to the Sugarscape and allow the agents to trade, an economic market emerges. The introduction of pollution resulting from resource-mining permits the study of economic markets in the presence of environmental factors.This study is part of the 2050 Project, a joint venture of the Santa Fe Institute, the World Resources Institute, and the Brookings Institution. The project is an international effort to identify conditions for a sustainable global system in the middle of the next century and to design policy actions to help achieve such a system.