Yomford: September 2010

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66TH YEAR-The longest standing Motor Sport Yearbook. Independent and authoritative editorial combined with the finest photography.

Whilst rivals come and go, The World's Leading Grand Prix Annual reaches its 65th year of publication as the indisputable leader in its field.

AUTOCOURSE wraps up the year with the most complete results record supplied anywhere in a single volume. This lavish yearbook continues to be essential reading for all fans of global motorsport.

Sales Rank: #352939 in Books
Brand: Formula 1
Published on: 2017-01-28
Original language: English
Dimensions: 12.78" h x 1.25" w x 9.50" l,
Binding: Hardcover
408 pages

About the Author

Tony Dodgins is one of the world's leading F1 journalists and attends every grand prix, reporting for a wide range of media worldwide. A passionate fan of Senna, he has been Grand Prix reporter for Autosport, F1 Racing and Motorsport News in the UK, and has written for leading motorsport titles in the USA and Japan. He also writes for and edits the prestigious Autocourse Formula 1 annual. At races he is part of BBC TV's coverage, assisting Ben Edwards and David Coulthard in the Formula 1 commentary box.

Maurice Hamilton is an F1 veteran with over 40 years covering F1.Mark Hughes is one of the most highly respected and authoritative writers in contemporary motor sport. He combines an acute understanding of present-day Formula One with an intuitive feel for the past. His work appears in a wide variety of magazines, including the UK's Autosport.Gordon Kirby is a veteran US contibutor to AUTOCOURSE since 1972.

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0 of 0 people found the following review helpful.
I have every one since 1981 and they keep getting bigger and better every year
By Raymond G Bojarski
Another tremendous Autocourse Book, all 5+ pounds of it! I have every one since 1981 and they keep getting bigger and better every year. In-depth reviews of every race plus outstanding color photography on almost every page.

0 of 0 people found the following review helpful.
Great book, needs better packaging.
By Michael Fernance
Another great edition of Autocourse. The packaging isn't the best though........how about a little more actual packaging material around the item?

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Jumat, 24 September 2010

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Kamis, 23 September 2010

[G971.Ebook] Ebook Journey into Mathematics: An Introduction to Proofs (Dover Books on Mathematics), by Joseph J. Rotman, Mathematics

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Students learn how to read and write proofs by actually reading and writing them, asserts author Joseph J. Rotman, adding that merely reading about mathematics is no substitute for doing mathematics. In addition to teaching how to interpret and construct proofs, Professor Rotman's introductory text imparts other valuable mathematical tools and illustrates the intrinsic beauty and interest of mathematics.
Journey into Mathematics offers a coherent story, with intriguing historical and etymological asides. The three-part treatment begins with the mechanics of writing proofs, including some very elementary mathematics--induction, binomial coefficients, and polygonal areas--that allow students to focus on the proofs without the distraction of absorbing unfamiliar ideas at the same time. Once they have acquired some geometric experience with the simpler classical notion of limit, they proceed to considerations of the area and circumference of circles. The text concludes with examinations of complex numbers and their application, via De Moivre's theorem, to real numbers.

Sales Rank: #401725 in Books
Published on: 2006-12-27
Released on: 2006-12-27
Original language: English
Number of items: 1
Dimensions: 8.44" h x .49" w x 5.22" l, .58 pounds
Binding: Paperback
256 pages

From the Back Cover
Rotman, Joseph, Journey into Mathematics: The World of Proof Prompting readers to do mathematics, not merely read about it, this proactive book has users reading and writing proofs at the outset. Complete proofs are given from the start, and coverage begins with elementary mathematics to allow focus on the writing and reading of proofs without the distraction of absorbing new ideas simultaneously.Contains material that is familiar to calculus readers (i.e., induction, binomial theorem, polygonal, using the Diophantine parametrization of the circle by rational functions to solve trigonometric identities, etc.), and engages readers throughout with interesting expositions using history, etymology, and humorous asides. Material is presented as a 'single story' to aid in the subjects progressive growth and development.For mathematicians.

Most helpful customer reviews

46 of 47 people found the following review helpful.
Analysis Without Tears
By Steven Marks
Until I came across this book, I did not believe there existed a decent book to teach proofs that one can use for SELF-STUDY.

The stated aim of this book is to introduce the idea of proofs and analysis on subject matter that is not too difficult. In the ~230 pages one gets introduced to proofs in a total variety of contexts - algebra and geometry and number theory and complex numbers. About 20% of the proofs require calculus -but not at an advanced level.

A number of proofs are demonstrated in these different contexts in a way that one can follow and understand.

It would be great to take a class based upon this book where the instructor follows the author's suggestion of assigning problems to teams and they present to the class.

The author also makes the statement that at the high school level, instead of one year geometry and one year algebra it should be 2 years of a combined class. I think this is a real good idea; the two subjects are articifically separated. This is also the idea of "Numbers and Geometry" by John Stillwell - which I am currently reading and will review in a couple months.

I think this is an excellent book for a good solid introduction to real non-trivial mathematical proofs, but where one is at the same time not really struggling with advanced concepts like one would in a standard analysis class. There are some good digressions with some mathematical history as well; such as the Chinese really had Pascal's triangle centuries before Blasie Pascal. I really recommend it for someone who is looking for a self-study guide AND with Dover you know the price is right!

9 of 18 people found the following review helpful.
A very entertaining read
By Cohan Sujay Carlos
The book has a very interesting approach to a wide range of topics in maths. Uses lots of anecdotes and historical facts to motivate the reader. I haven't really sat down to the exercises, but I love the stories and pointers.. sure shall get at the sources mentioned, sometime.

0 of 0 people found the following review helpful.
It has many good ideas on developing the skills of understanding and using ...
By augustusmax
It has many good ideas on developing the skills of understanding and using proofs (something that always needs to be worked on) and seems to be one of the unique approaches to this subject. I find no fault in the method and I am working through the book to see if I can glean some of the wisdom from it.

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Sabtu, 18 September 2010

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US consuls played a distinctive and crucial role in control of Jewish refugee entry into the United States in 1933-41. The consuls decided individual cases and in doing so had discretion to grant immigration visas. This extended to interpreting aspects of the immigration laws and regulations which were not fully defined, notably the likely to become a public charge clause.

Sales Rank: #1073857 in Books
Published on: 2001-01-01
Original language: English
Number of items: 1
Dimensions: 9.30" h x 1.00" w x 6.30" l,
Binding: Hardcover
229 pages

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Selasa, 07 September 2010

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The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications.

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.

Sales Rank: #10515387 in Books
Brand: Brand: IGI Global
Published on: 2012-07-31
Original language: English
Number of items: 1
Dimensions: 11.02" h x .75" w x 8.50" l, 2.35 pounds
Binding: Hardcover
367 pages

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Used Book in Good Condition

Review
Taking commonsense reasoning as a process of thinking that reveals causal connections between objects, their properties, and their classes, mathematicians and computer scientists most of the them Russian explore the role it can play in machine learning and intelligent computer systems. After setting out theoretical models of logical inference, they explore some new and original direction in artificial intelligence, machine learning, Internet data analysis, and creating intelligent computer systems. Then they demonstration applications of machine learning, knowledge elicitation, and knowledge organization in different problem domains, among them predicting new inorganic compounds and their properties, evaluating the organism's functional state of individuals depending on their immune reactivity, and business intelligence in corporate governance. --Annotation �2012 Book News Inc. Portland, OR

About the Author

Xenia Naidenova is a senior researcher of the Group of Psycho Diagnostic Systems' Automation at the Military Medical Academy (St. Petersburg, Russia). She is currently the head of Project DIALOG: Methods of Data Mining in Psychological and Physiological Diagnostics. Dr. Naidenova received a diploma of engineering with a specialty in computer engineering (1963) and a PhD in technical sciences (1979), both from the Lenin Electro-Technical Institute of Leningrad. In 1999 she received a senior researcher diploma from the Military Medical Academy (St. Petersburg, Russia). She has guided the development of several program systems on knowledge acquisition and machine learning including DEFINE, SIZIF, CLAST, LAD and diagnostic test machines and has published over 150 papers. Dr. Naidenova is a member of the Russian Association for Artificial Intelligence and is on the Program Committee for the KDS.

Dr. Dmitry I. Ignatov works as an Assistant Professor for National Research University Higher School of Economics (Moscow, Russia) at the chair of Artificial Intelligence and Data Analysis. Dr. Dmitry Ignatov graduated in 2004 as a "Specialist in Physics and Mathematics" with distinction at the "Kolomna Teachers' Training Institute" (Russia, Kolomna) and in 2008 as a "Master of Applied Mathematics and Information Sciences" at the "State University Higher School of Economics" (Russia, Moscow). In 2010 he obtained his degree of "Candidate of sciences in Mathematical Modeling, Numerical Methods and Software Systems" at the "National Research University Higher School of Economics". He did his PhD (Candidate of science in Russian) research in All-Russian Institute for Scientific and Technical Information specializing in Theoretical Computer Science. He also was a guest researcher as a PhD student of the Postgraduate Program "Specification of Discrete Processes and Systems of Processes by Operational Models and Logics", Department of Computer Science, Dresden University of Technology. He is an author of more than 35 papers published in peer reviewed conferences, workshops and journals. His main interests include Formal Concept Analysis, Data Mining and Machine Learning, especially multimodal clustering and recommender systmes. He was a co-organizer of several international conferences and workshops: ICCS 2009, RSFDGrC 2011, PReMI 2011, CDUD 2011 and 2012, SCAKD 2011, EEML 2012, ICFCA 2012.

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A book of collected stories on Logic in Machine Learning
By Machine
This is a book of, so to speak, collected stories mainly on Logic in Machine Learning (both theory and practise) written by different talented authors. Some of them did their studies in USSR and this is a first time when their results (recent and past) comprise a part of a book in English. E.g. one of them is a USSR pioneer of Cybernetics (e.g. project URAL-1), outstanding Prof. Arkady Zakrevsky (or Arkadij Zakrevskij). He invented the LYaPAS language and algorithms for discrete automata synthesis at that time (see LYaPAS: A programming language for logic and coding algorithms). Now he is a quite active person and contributed two papers on Inductyive-Deductive Inference and Implicative Regularities as well as on Solving Large Systems of Boolean Equations (Logic for Big Data as I could say). Another author and editor is Xenia Naidenova, she works on the topics of mining logical rules from data and diagnostics test in Machine Lerning. It is interesting, e.g. that so called association rules, introduced by R. Agrawal, were known even earlier, e.g. in Formal Concept Analysis they were known as partial implications (see papers of M. Luxenburger) at the end of 80s. Xenia also proposed similar approcahes at the end of 80s in USSR, also before Agrawal. It is interesting to see these results and their contribution to Machine Learning area in her survey. Another interesting paper describes so called bimodal cross-validation; this approach extends standard cross-validation technique in Machine Learning to the case of Recommender Systems (one can find this in somewhat similar to perplexity measure in Topic Modeling). Other interesting papers covers the topics on Logical Inferece and Defesiable Inference in a specially designed N-tuple algebra, Machine Learning approaches for synthesis new inorganic compounds, ML in medical treatment, Bussiness Intelligence for E-covernment and even measuring a human intelligence by soft computing techniques. I recommend the book for those who is interested both in Logic and Machine Learing as well as in their applications. Of course it is not a textbook and some familiarity with basic Logic and Machine Learning ideas and notions is required.

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Jumat, 03 September 2010

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