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A globe-spanning tour of the very pinnacle of automotive design from the experts at Top Gear, including 3D photography (and the requisite snazzy specs)

Whether it’s through raw power, elegant curves, or just an eye-watering price tag, there are a small number of cars that mark the pinnacle of automotive design—and now the experts at Top Gear have chosen the very best of them. This book is a celebration of the cars that achieve that perfect blend of art and engineering. From the supercar muscle of the Porsche 918 and Ferrari LaFerrari to the technological prowess of the Nissan DeltaWing and the mighty McLaren P1, stunning visuals, including jaw-dropping 3D photography, take gearheads on a whistlestop tour of the latest and greatest automotive creations on the planet today.

• Sales Rank: #261983 in Books
• Published on: 2016-05-01
• Original language: English
• Number of items: 1
• Dimensions: 11.00" h x .90" w x 9.00" l, 2.23 pounds
• Binding: Hardcover
• 256 pages

About the Author
Sam Philip is senior writer at TopGear Magazine.

Most helpful customer reviews

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A supercar lovers dream book!
By D. Butterfield
Awesome book at a great price. This was a gift for my teenage son, and I think he literally jumped a foot off his chair when he opened this. Book is very high quality and with current supercars. I guarantee this will be a knockout hit for anyone that has an appreciation of high-end sports cars and wants to be able to drool over them at any time :)

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My 11 year old who is crazy about cars did ...
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My 11 year old who is crazy about cars did not put this down for several days. The 3D pages where a particular hit. Coolest mum ever!!!

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Five Stars
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Thoroughly updated with the assistance of seventeen master plumbers, the third edition of Plumbing Technology: Design and Installation introduces readers to all aspects of the commercial and residential plumbing trade, including home building. An excellent study guide for plumbers preparing to pass the "master plumber" exam, this edition features updated coverage of all current plumbing codes. Each unit of Plumbing Technology, 3rd Edition also contains new and improved summaries, plus "Test Your Understanding" quizzes (with answers in an appendix), to clarify and reinforce more difficult concepts. In addition, projects located throughout the book provide opportunities for hands-on plumbing practice and actual application of concepts. As such, readers gain an understanding of both the "why" and the "how" of plumbing design and installation.

• Sales Rank: #1291721 in Books
• Brand: Brand: Delmar Cengage Learning
• Published on: 2000-09-07
• Original language: English
• Number of items: 1
• Dimensions: 1.30" h x 8.20" w x 9.50" l,
• Binding: Hardcover
• 512 pages

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Review
"The text is very accurate and up-to-date." Marc Bridgens, Pennsylvania College of Technology

"The reorganization seems to have a logical flow." Edward T. Moore, York Technical College

"Simple to read, covers a lot of material, good illustrations." Edward T. Moore, York Technical College

"A picture is worth a thousand words. (The) figures and drawings help to understand the text." James Pruitt, Indian River Community College.

"Illustrations are great. A picture is worth a thousand words." Mike Roberts, St. Cloud Technical College.

About the Author
Lee Smith is a Registered Master Plumber and certified vocational math instructor. His many years of practical and teaching experience in the pipe trades includes domestic and industrial work in the areas of refrigeration and air conditioning, deep sea diving vehicles, and nuclear piping. In addition to several certificates in the trades, Mr. Smith has held Master Plumber credentials for forty years. He earned his A.A.in applied science and technology from Thomas A. Edison State College, and his B.A. and M.A. degrees in education from Temple University.

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received as noted in description. Very pleased!

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Don't Buy
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Don't waste your money, most of the chapters are about 2 to 3 pages long and are very generic. There are about 85 covered topics but not much time is spent on them.

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• Sales Rank: #1936104 in Books
• Brand: Brand: Springer
• Published on: 2013-10-04
• Released on: 2013-10-04
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .80" w x 6.10" l, 1.19 pounds
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• 331 pages

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By R. Basmajian
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By Steven J. Owens
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The content level of Key Java is head and shoulders above most java books. Those few books with comparable content usually fail in some other dimension (clarity, accessibility, brevity, completeness, non-trivial examples). The writing style is a bit dry and academic, but the author is obviously no stranger to serious programming.
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One thing I'm particularly happy about is the form factor of the book - too many java books are tomes that risk breaking your wrist (or your foot if you drop it). There's a prevailing mindset in technical book publishing that the thicker the book, the better (the thicker the spine, the more bookstore shelf real estate you get for your book to advertise itself). Key Java is concise and focused, and the form factor reflects that; I carried it around in my large coat pocket to read as the mood struck me for a couple of weeks.

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This is one of the very, very few Java books on the market that will give you any new insight into using the language. In a very small space, it provides an amazing amount of detail - at both the low implementation level and the high architectural level. The chapters on memory and speed optimization alone make it worth the price. This book manages to say a lot with very few words. It runs completely against the grain of all the wordy, useless, and incorrect Java books out there, and every serious Java programmer should own it.

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The Psychology of Learning and Motivation publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem solving. Each chapter provides a thoughtful integration of a body of work.

Key Features
* Includes computational models of human learning
* Provides contributions from ten leading researchers in the field
* Contains interdisciplinary perspectives on perceptual learning
* Synthesizes research from psychology and computer science
* Focuses on the specific mechanisms that drive perceptual learning

• Published on: 1997-09-25
• Released on: 1997-09-25
• Format: Kindle eBook

Review
Praise for the Series
"A remarkable number of landmark papers... An important collection of theory and data."
--Roberta L. Klatzky in CONTEMPORARY PSYCHOLOGY

About the Author
Phillippe Schyns has been a Senior Lecturer in Psychology at Glasgow University since 1995. He received his Ph.D. in Cognitive Science from Brown University in 1992, and spent two years at MIT as a postdoctoral fellow in the Brain and Cognitive Science department.

Robert Goldstone has been a professor in psychology and cognitive science at Indiana University since 1991. He was the 1991 recipient of the Marquis Award for Most Outstanding Dissertation in Psychology from University of Michigan, the recipient of two American Psychological Association Young Investigator awards for research articles in 1995, and the 1996 recipient of the Chase Memorial Award for Outstanding Young Researcher in Cognitive Science from Carnegie Mellon University.

Douglas L. Medin is the series editor of The Psychology of Learning and Motivation.

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Povero Greg, anche questa volta sono guai, ma guai seri! La scuola ha organizzato una grande festa, e se non vuole essere tagliato fuori, deve affrontare un'impresa quasi impossibile. Imparare a ballare? Sì, ma non solo: Greg deve procurarsi una ragazza. Fra i consigli dello zio Gary, un radicale cambio di look e una serie di fiaschi colossali, le cose sembrano mettersi male. Per fortuna che c'è Rowley! Con il suo aiuto, Greg trova il modo di svoltare la serata, ma... siamo sicuri che non ci siano altri guai in arrivo? Età di lettura: da 11 anni.

• Sales Rank: #3935309 in Books
• Published on: 2014-01-03
• Original language: Italian
• Dimensions: 8.31" h x .87" w x 5.75" l,
• Binding: Hardcover
• 281 pages

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[I384.Ebook] Fee Download Statistical Methods for Recommender Systems, by Deepak K. Agarwal, Bee-Chung Chen

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Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.

• Sales Rank: #536029 in eBooks
• Published on: 2015-12-31
• Released on: 2016-01-26
• Format: Kindle eBook

About the Author
Dr Deepak Agarwal is a big data analyst with more than fifteen years of experience developing and deploying state-of-the-art machine learning and statistical methods for improving the relevance of web applications. He is also experienced in conducting new scientific research to solve notoriously difficult big data problems, especially in the areas of recommender systems and computational advertising. He is a Fellow of the American Statistical Association and associate editor of two top-tier journals in statistics.

Dr Bee-Chung Chen is a Senior Staff Engineer and Applied Researcher at LinkedIn. He has been a key designer of the recommendation algorithms that power LinkedIn homepage and mobile feeds, Yahoo! homepage, Yahoo! News and other sites. Dr Chen is a leading technologist with extensive industrial and research experience. His research areas include recommender systems, machine learning and big data analytics.

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1 of 1 people found the following review helpful.
A great balance between introductory material and specific algorithms for an engineer
By Ryan Tecco
This a great introduction to some of the more cutting edge techniques in recommender systems. It starts with basic structure of various types of recommender systems and then layers in more sophistication. Bayesian methods get a extensive treatment here and explore/exploit techniques are front and center (versus an afterthought in some books and research papers). The treatment of Multi-objective Optimization in recommender systems was unique for a book and very welcome since most real world problems have multiple tradeoffs. If you are an engineer with some statistics knowledge and some patience, you'll find this rewarding.

0 of 6 people found the following review helpful.
Five Stars
By Amazon Customer
Excellent book.. A must-read!

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