Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    Building on the successful top-down approach of previous editions, this fourth edition continues with an early emphasis on application-layer paradigms and application programming interfaces, encouraging a hands-on experience with protocols and networking concepts.

    It divides into two parts, each of which provides enough material for a one-semester graduate course. The first part deals chiefly with the isotropic and homogeneous average universe; the second part concentrates on the departures from the average universe. Throughout the book the author presents detailed analytic calculations of cosmological phenomena, rather than just report results obtained elsewhere by numerical computation. The book is up to date, and gives detailed accounts of topics such as recombination, microwave background polarization, leptogenesis, gravitational lensing, structure formation, and multifield inflation, that are usually treated superficially if at all in treatises on cosmology. Copious references to current research literature are supplied. Appendices include a brief introduction to general relativity, and a detailed derivation of the Boltzmann equation for photons and neutrinos used in calculations of cosmological evolution. Also provided is an assortment of problems.

    The SY0-301 version covers every aspect of the SY0-301 exam, and includes the same elements readers raved about in the previous version. Each of the eleven chapters presents topics in an easy to understand manner and includes real-world examples of security principles in action. The author uses many of the same analogies and explanations he's honed in the classroom that have helped hundreds of students master the Security+ content. You'll understand the important and relevant security topics for the Security+ exam, without being overloaded with unnecessary details. Additionally, each chapter includes a comprehensive review section to help you focus on what's important. Over 450 realistic practice test questions with in-depth explanations will help you test your comprehension and readiness for the exam. The book includes a 100 question pre-test, a 100 question post-test, and practice test questions at the end of every chapter. Each practice test question includes a detailed explanation to help you understand the content and the reasoning behind the question. You'll be ready to take and pass the exam the first time you take it. If you plan to pursue any of the advanced security certifications, this guide will also help you lay a solid foundation of security knowledge. Learn this material, and you'll be a step ahead for other exams. This SY0-301 study guide is for any IT or security professional interested in advancing in their field, and a must read for anyone striving to master the basics of IT systems security. The author supplements the book with blog posts here: http: //blogs.getcertifiedgetahead.com/. This page provides a full listing of mobile device apps from the author: http: //learnzapp.com/partners/darrilgibson/

    Nearly a half-century after Neil Armstrong walked on the moon, these Space Barons-most notably Elon Musk and Jeff Bezos, along with Richard Branson and Paul Allen-are using Silicon Valley-style innovation to dramatically lower the cost of space travel, and send humans even further than NASA has gone. These entrepreneurs have founded some of the biggest brands in the world-Amazon, Microsoft, Virgin, Tesla, PayPal-and upended industry after industry. Now they are pursuing the biggest disruption of all: space. Based on years of reporting and exclusive interviews with all four billionaires, this authoritative account is a dramatic tale of risk and high adventure, the birth of a new Space Age, fueled by some of the world's richest men as they struggle to end governments' monopoly on the cosmos. The Space Barons is also a story of rivalry-hard-charging startups warring with established contractors, and the personal clashes of the leaders of this new space movement, particularly Musk and Bezos, as they aim for the moon and Mars and beyond.

    This book provides information and advice on the GMAT Analytical Writing Assessment, and includes samples of the two types of writing tasks, examples of essays, authentic scoring guides, and strategies for preparing your responses.

    It provokes you to ask the right questions, hand-holds you through practical exercises, and offers a map that includes paths to develop strategic relationships with funders."--E. Eduardo Romero, Nonprofit Roundtable"Winning Grants Step by Step is a very practical A-to-Z resource that speaks to the importance of staying focused on your mission every step of the way. The third edition is artfully updated with words of wisdom from grantmakers themselves, as well as updates on the latest processes and buzzwords all grantseekers need to know."--Heather Iliff, Maryland Association of Nonprofit Organizations"With solid advice and clear examples, nonprofit leaders will find it a page turner!"--Clarence Hauer, senior director, strategy and organizational development, St. Louis Nonprofit Services Consortium"Winning Grants Step by Step is a gift to nonprofit organizations. The valuable insights and hands-on tools will instantly make any proposal more competitive."--Alex Carter, Your Nonprofit Coach"Developing great grant proposals is essential for nonprofit leaders. Winning Grants Step by Step provides important guidance to those who are new to fundraising as well as to anyone who needs a refresher. This new edition of Winning Grants brings updated tips and vivid examples. As an experienced fundraising consultant, I believe it will help my clients and colleagues alike."--Maria Gitin, CFRE, Maria Gitin & Associates"As an executive director, fundraising is on my mind every day. It's great to have a resource like Winning Grants Step by Step to use and share with my board, staff, and peers."--Deborah Menkart, executive director, Teaching for Change

    Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.

    The massive effort to design and build it in a seemingly impossible timeframe is still hailed as one of the most herculean efforts and well-kept secrets in the history of the Indy 500. In the new book, Beast, bestselling author Jade Gurss chronicles the subterfuge and debunks the myths about this legendary engine that persist twenty years on. Gurss interviewed key players involved in the race to undercover the story of how this engine powered the Penske PC23 chassis to one of the most talked-about Indy 500 races in history. The British race-engine experts at Ilmor Engineering offer detail about the design and manufacture of the engine. Roger Penske’s team reveals how the engine and car were tested and developed, and how Mercedes came to be involved in the project. The story unfolds as Roger Penske and Mario Illien and Paul Morgan of Ilmor play every card they possess to create an incredible race engine--even rare World War II fighter planes and supersonic jets roar into the heart of this high-tech tale. Drivers Al Unser Jr., Emerson Fittipaldi, and Paul Tracy provide details on the tense weeks leading up race day. The book reaches a suspenseful climax at 240 miles per hour at the Indy 500 noone can forget. Wrapped up in the drama and intrigue are real business and motivational lessons which made Roger Penske one of the most successful businessmen in the world and that helped Ilmor and its cofounders, Mario Illien and the late Paul Morgan, design and manufacture Indy car and Formula 1 championship–winning engines. Beast is not only a must-read for sports and race fans, but a compelling narrative for those who enjoy genuine lessons in business and technology or thrilling mysteries based on actual events.

    Hand methods were further eclipsed by the advent of the electronic watch in the 1960s, and many people feared that the mechanical watch would disappear entirely.

    Includes discussion of practice techniques, chassis set-up, and working with your pit chief.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    The hull glides in silence and with such perfect balance as to report no motion. I sit up for another stroke, now looking down as the blades ignite swirling pairs of white constellations of phosphorescent plankton. Two opposing heavens. ‘Remember this,’ I think to myself.”Few people have ever considered the eastern United States to be an island, but when Nat Stone began tracing waterways in his new atlas at the age of ten he discovered that if one had a boat it was possible to use a combination of waterways to travel up the Hudson River, west across the barge canals and the Great Lakes, down the Mississippi River to the Gulf of Mexico, and back up the eastern seaboard. Years later, still fascinated by the idea of the island, Stone read a biography of Howard Blackburn, a nineteenth-century Gloucester fisherman who had attempted to sail the same route a century before. Stone decided he would row rather than sail, and in April 1999 he launched a scull beneath the Brooklyn Bridge to see how far he could get. After ten months and some six thousand miles he arrived back at the Brooklyn Bridge, and continued rowing on to Eastport, Maine. Retracing Stone’s extraordinary voyage, On the Water is a marvelous portrait of the vibrant cultures inhabiting American shores and the magic of a traveler’s chance encounters. From Pittsburgh, Pennsylvania, where a rower at the local boathouse bequeaths him a pair of fabled oars, to Vanceburg, Kentucky, where he spends a day fishing with Ed Taylor -- a man whose efficient simplicity recalls The Old Man and the Sea -- Stone makes his way, stroke by stroke, chatting with tugboat operators and sleeping in his boat under the stars. He listens to the live strains of Dwight Yoakum on the banks of the Ohio while the world’s largest Superman statue guards the nearby town square, and winds his way through the Louisiana bayous, where he befriends Scoober, an old man who reminds him that the happiest people are those who’ve “got nothin’.” He briefly adopts a rowing companion -- a kitten -- along the west coast of Florida, and finds himself stuck in the tidal mudflats of Georgia. Along the way, he flavors his narrative with local history and lore and records the evolution of what started out as an adventure but became a lifestyle. An extraordinary literary debut in the lyrical, timeless style of William Least Heat-Moon and Henry David Thoreau, On the Water is a mariner’s tribute to childhood dreams, solitary journeys, and the transformative powers of America’s rivers, lakes, and coastlines.From the Hardcover edition.

    It is a book for everybody who wants to learn how to write or who needs to do some writing to get through the day, as almost everybody does in the age of e-mail and the Internet. Whether you want to write about people or places, science and technology, business, sports, the arts or about yourself in the increasingly popular memoir genre, On Writing Well offers you fundamental priciples as well as the insights of a distinguished writer and teacher. With more than a million copies sold, this volume has stood the test of time and remains a valuable resource for writers and would-be writers.