Product: Book - Paperback
Title: Microsoft Windows XP Step by Step (With CD-ROM)
Publisher: Microsoft Press
Authors: Online Training Solutions Inc.
When I received the Windows XP Step by Step book I was surprised that the cover was as bright as the windows xp wallpaper that is in the windows xp software. What I like about the book is every section is color-coded making it easier for the windows xp user to find the answer to their questions. The book makes it easy to learn how to use windows xp without the computer langage that sometimes can confuse the novice. The exercises make learning windows xp fun. The book is great for everyone-Beginner/Novice.
Product: Book - Paperback
Title: eBay Hacks: 100 Industrial-Strength Tips and Tools
Authors: David A. Karp
Reading through this book, one gets the sense this could be a slightly abbreviated "how to use eBay" guide, rather than a book of "eBay hacks." Many of the hacks offered in the book are not only informative and helpful, but a few almost seem like common sense tips, such as ways to avoid having bad feedback written about you when you sell an item to someone on eBay.
Since I'm a "eBay novice," I found a few of the hacks a bit confusing. But I think this is due much more to my inexperience with eBay than anything else. And after reading this book I will attest that it has increased my curiosity and willingness to both buy and sell items on eBay in the future.
The book offers numerous excellent "tips" (er hacks) in several main areas. As with other books in the O'Reilly Hacks series, these areas are divided into several chapters. Areas covered in various chapters include Diplomacy and Feedback, searching for auction items, ways to bid on items offered, using photos to help "sell" your items, and completing transactions.
If you do any buying and/or selling on eBay, you need this book.
Product: Book - Hardcover
Title: Pattern Classification (2nd Edition)
Authors: Richard O. Duda, Peter E. Hart, David G. Stork
The 1973 edition of Pattern Classification by Richard Duda and Peter Hart is one of the most cited books in the fields of image processing, machine vision, and classification. It contains perhaps the clearest, most comprehensible descriptions of statistical inference ever written. Though intended for the image processing audience, it is general in its approach, and is broader in coverage than other contemporary books like the redoubtable Van Trees (1969). The section on Bayesian Learning anticipates the EM algorithm which appeared a few years later (Dempster, et al. 1977) and their description of Parzen windows for density estimation is more often cited than Parzen's own papers.
The appearance of the 2000 2nd edition led this writer to wonder if D&H could repeat with an offering as good as their first. In particular, would D&H have kept up with the considerable growth in methodology in the 1990s? Well, they have! With the addition of David Stork as third author, the second addition re-presents the basic theory, illustrated with some beautiful and complex figures, and knits it neatly with an exposition of neural networks, stochastic methods for posterior determination, nonmetric classification (tree search and string parsing), and clustering. Chapter 9 is a particularly interesting review of the recent machine learning research making the point that, absent knowledge of a problem's specific domain, no one classifier is better that any other. This chapter also reviews solutions to the problem of training on too-small samples including the Jackknife and bootstrap methods, and newer bagging and boosting algorithms popular in data mining applications. Each chapter is well-designed, with a summary, many exercises (including computer exercises), and references to the literature (typically 50-100) including many recent references.
This book is designed for an upper-level undergraduate/graduate audience. It doesn't assume a knowledge of statistics, but requires some familiarity with methods from calculus, real analysis, and linear algebra.
The first edition was a particularly important element in this writer's education; the second edition is certain to find a similar place in the working and intellectual lives of many new readers.
Product: Book - Paperback
Title: Learning Perl, Third Edition
Authors: Randal L. Schwartz, Tom Phoenix
Although it lacks Wall's witty foreword, the latest edition of O'Reilly's introductory Perl book is still a must-have classic. The cast has changed slightly, with Tom Phoenix replacing Tom Christiansen, and the principal author Randal Schwartz staying same. Probably the most experienced Perl instructors around, these guys have been training Perl programmers for a living since 1985 at their firm Stonehenge Consulting. Don't let the name fool you, these guys aren't Druids, they're thoroughly modern programmers.
Completely rewritten, the latest edition of this introductory Perl book is based on their Stonehenge "Learning Perl" course and instructor notes they've refined and road-tested over the years. They've simplified and reorganized the text for easier comprehension, with each set of exercises short enough for a 45-60 minute class. Yes, this book and its companion, "Programming Perl" are popular textbooks for college Perl programming courses. Even the jokes are better (be sure to read the footnotes, where most of them are).
Perl is ideal for quick and dirty programming, to automate repeated tasks. About 90% of Perl scripts are short ones, from 2 to 128 lines of code. That's what this book is designed to do, get you up to speed fast on the basics and defaults, and start cranking out useful short programs. For longer programs you can always hire a consultant, or read the sequel, "Programming Perl" and do it yourself.
I'd normally include a summarized table of contents here, but you're going to buy the book anyway. One nice change I enjoyed was the old regular expression chapter has been expanded into three, which makes this essential Unix tool easy to learn. Highly recommended. From WebReference.com.