Minggu, 31 Oktober 2010

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The Lord of the Rings: The Fellowship of the Ring Ring Masters Article by Jody Duncan �

In a marathon effort that has won raves from critics, recognition from peers and the admiration of legions of moviegoers, New Zealand director Peter Jackson accomplished the seemingly impossible - a faithful, live-action adaptation of J.R.R. Tolkien's The Lord of the Rings: The Fellowship of the Ring, with two more installments to follow. Working with a dedicated crew at Weta, his homegrown effects facility, Jackson relied on Kiwi ingenuity to overcome unimaginable hurdles, executing some 1500 visual effects that included the development of a breakthrough crowd simulation program with 'thinking' characters capable of autonomous behavior. �

The Time Machine The Shape of Things to Come Article by Joe Francis �

In his remake of the classic tale, The Time Machine, director Simon Wells called upon visual effects supervisor James Price and lead effects house Digital Domain to help bridge a narrative gap that spanned some 800,000 years. While Digital Domain was responsible for many of the movie's signature time travel scenes, practical creature effects were the work of Stan Winston Studio and KNB EFX Group, and special effects supervisor Matt Sweeney oversaw creation of the fabled machine. �

Black Hawk Down Under Fire Article by Joe Fordham �

Based on a nonfiction account of a 1993 military incident that ooccurred in Mogadishu, Somalia, Black Hawk Down recounts the disastrous mission and daring rescue of an elite force of U. S. Army troops, whose attempts to curb terrorist tactics by a Somali warlord were thwarted when they were ambushed by thousands of his militiamen. Ridley Scott directed the harrowing cinematic reenactment, relying heavily on in-camera effects by special effects supervisor Neil Corbould, and digital enhancements by Mill Film and Asylum Visual Effects.

  • Sales Rank: #4017777 in Books
  • Published on: 2002
  • Binding: Paperback
  • 146 pages

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Sabtu, 30 Oktober 2010

[Y870.Ebook] Free Ebook Holt World History, Human Legacy , Modern Era , California Teacher's Edition, by Susan Ramirez

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Holt World History, Human Legacy , Modern Era , California Teacher's Edition, by Susan Ramirez

Teachers edition

  • Sales Rank: #2024431 in Books
  • Published on: 2008
  • Binding: Hardcover
  • 646 pages

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0 of 0 people found the following review helpful.
California edition is fine
By Amazon Customer
I had ordered this after looking for any teacher's edition since our school district did not have one for the series. I have not found any issues with the California edition and it's worked just fine for me.

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Selasa, 19 Oktober 2010

[L722.Ebook] Download Ebook Scikit-Learn Cookbook, by Trent Hauck

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Scikit-Learn Cookbook, by Trent Hauck

Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluationAbout This Book

  • Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
  • Use Scikit-Learn to simplify the programming side data so you can focus on thinking
  • Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

What You Will Learn
  • Address algorithms of various levels of complexity and learn how to analyze data at the same time
  • Handle common data problems such as feature extraction and missing data
  • Understand how to evaluate your models against themselves and any other model
  • Discover just enough math needed to learn how to think about the connections between various algorithms
  • Customize the machine learning algorithm to fit your problem, and learn how to modify it when the situation calls for it
  • Incorporate other packages from the Python ecosystem to munge and visualize your dataset
In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.

  • Sales Rank: #1354942 in Books
  • Published on: 2014-11-03
  • Released on: 2014-11-04
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x .49" w x 7.50" l, .83 pounds
  • Binding: Paperback
  • 214 pages

About the Author

Trent Hauck

Trent Hauck is a data scientist living and working in the Seattle area. He grew up in Wichita, Kansas and received his undergraduate and graduate degrees from the University of Kansas. He is the author of the book Instant Data Intensive Apps with pandas How-to, Packt Publishing—a book that can get you up to speed quickly with pandas and other associated technologies.

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5 of 5 people found the following review helpful.
Potential lost
By Abhijit Dasgupta
I recently got Trent Hauck's book "scikit-learn Cookbook", and am posting a short review of it.

First of all I'd like to point out that this book isn't for beginners or new entrants to Data Science. The book assumes an intermediate level of sophistication in terms of methods covered and statistical/computer science algorithms presented. Without some background this book will be very difficult.

The book is split into 5 chapters, from Premodel Workflow to Postmodel Workflow, with intervening chapters on regression, clustering and classification. The book is rather dense, and covers a lot of material. The later chapters are smoother in style than the earlier chapters, making for easier reading.

However there is a lot of code, and the code isn't necessarily encapsulated within each recipe, so it was sometimes hard to replicate the books code without searching for required code from earlier recipes. Also, since some algorithms are random in nature, the author neglects to explicitly set the random number seed, and so there is no way for the reader to exactly replicate the results. If this doesn't bother you, and you just want to see how the process works, fine. There is also rather haphazard introduction to packages outside of scikit-learn, like pandas, patsy, scipy, and others. This makes the discourse confusing in places and doesn't provide a straightforward recipe for the problem at hand. It is good that other packages and choices are mentioned, but they need to be less prominent to make the reading easier.

The editing of this book leaves something to be desired. There are typos, of course. The fact that Guassian processes are introduced in Chapter 1 even before regression, while the text for that recipe refers to the regression recipes as "as we have already seen" is a huge gaffe. Gaussian process regression thematically does not belong in Chapter 1 at all!! Better editing and proofing could have made this book much better.

One minor peeve. In talking about scaling variables, the author refers to a standard normal distribution. What he achieves in that recipe is just mean-variance standardization, and has nothing to do with the normal distribution. Just doing mean-variance standardization does not ensure normality in any way, so the premise of that recipe is misleading. Mean-variance standardization can be a good thing. but doesn't account for skewness and other characteristics in the data distribution that would continue to look non-normal.

Overall, I think there is lot of good material in the book if you go looking for it, but the organization and editing deficiencies make it, in my opinion, a case of potential lost. This book could have been much better.

0 of 0 people found the following review helpful.
Disappointing
By GEORGE R. FISHER
Most scikit learn books are 'introductory', this one holds out the hope of being written for people who know what sklearn is and it does achieve that. However, it is very poorly written; it looks like it was written in a great rush to get published and that greatly detracts from its value. By and large, YouTube is a better source.

1 of 1 people found the following review helpful.
Have it close to your mouse! Most likely you'll find find the recipe you need for your specific problem!
By Roberto Avil�s
'Over 50 recipes (I’ve counted 54!) to incorporate into every step of the data science pipeline, from feature extraction to model building and evaluation’. Could we ask more? Trent Hauck holds degrees in Accountancy and Finance but, he knows about Pydata, Pandas, IPython and Google analytics. That is the origin of this book: experience.
Let’s start with a caveat. Other books invest a whole chapter describing the tools you need and how to install it. Strategy here is different. In the preface the author list the tools & versions we will need plus, every recipe is structured in, the following, sections: ‘Getting ready’ (what to expect in the recipe and how to set up the software or settings requested for this recipe), ‘How to do it’ (the steps to cook the recipe), ‘How it works’ (a summary of what happened in previous section), ‘There’s more’ (additional information about the recipe, just to open our appetite), and finally, ‘See also’ (references to the recipe.) The preface summarizes, also, basic conventions followed in the book. However (another caveat) I believe the author presumes the reader either has set scikit-learn or will be able to set it correctly. If not your case, have in mind that ALL the essential information is in scikit-learn.org. Do not be afraid to do questions in places as ‘stackoverflow’, you know, ‘whistle while you type…and everything will work!’
Now, Chapter 1 is about ‘Premodel Workflow’: how to prepare a dataset for modeling and how scikit-learn helps us to improve the preprocessing steps.
Chapter 2, ‘Working with Linear Models’: identify problems for which a linear model is acceptable, introduces the most used models.
Chapter 3, ‘Building Models with Distance Metrics’: topics that arise when looking for the similarity between data sets.
Chapter 4, ‘Classifying with scikit-learn’: methods used to find if a data point is member of a class.
Finally in Chapter 5, ‘Postmodel Workflow’: pick a basic model obtained from a recipe and tune it to get and even better result.
Let ‘s see a bit more, the first recipe in Chapter 1. As a starting tip, the author explains the book was written using scikit-learn0.15, NumPy 1.9 and pandas 0.13. A short summary on the first recipe, ‘Getting sample data from external sources’, is a hands on exercise 2 pages long. ‘Getting ready’ “, how to get and load the datasets. ‘How to do it’, how to load datasets, inspect its contents and fetch a specific portion of the dataset. Then, at ‘How it works’, the author explains us what happen when a dataset is loaded and becomes a “dictionary”. In ‘There’s more’, we learn what happens with external datasets, how to configure that behavior and how to check the default location. Finally, in ‘See also’ we are told the UCI Machine Learning Repository is the place to find many sample datasets, other places being government agencies, Kaggle competitions and KDD.
Summarizing, this is a must read for everyone interested in Machine Learning and particularly, on the use of a open tool as ‘scikit-learn’. Must likely there is one or more recipe that fits your particular interests and needs. A great book, something we must have in our desk, close to the mouse.

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Minggu, 17 Oktober 2010

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The Art of Hypnotic Regression Therapy: A Clinical Guide

  • Published on: 1600
  • Binding: Paperback

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Sabtu, 16 Oktober 2010

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The Rich Girl (Fear Street Book 44), by R.L. Stine



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The Rich Girl (Fear Street Book 44), by R.L. Stine

Fear Street -- Where Your Worst Nightmares Live...
Emma and her best friend Sydney always share their secrets. And now they have a big one: They found a duffel bag filled with cash and swore never to tell anyone. But Sydney broke her promise -- she told her boyfriend, Jason.
Now Emma is terrified. She doesn't trust Jason. She knows he would do anything to get the money for himself.
Even if it means killing someone who gets in his way...

  • Sales Rank: #542931 in eBooks
  • Published on: 2008-06-30
  • Released on: 2008-06-30
  • Format: Kindle eBook

About the Author
R.L. Stine invented the teen horror genre with Fear Street, the bestselling teen horror series of all time. He also changed the face of children’s publishing with the mega-successful Goosebumps series, which Guinness World Records cites as the Bestselling Children’s Books ever, and went on to become a worldwide multimedia phenomenon. He lives in New York City with his wife, Jane, and their dog, Nadine.

Most helpful customer reviews

0 of 0 people found the following review helpful.
Great book!
By A Customer
This is a great book, with a few unexpected twists! It is a quick and fun read!

0 of 0 people found the following review helpful.
I love Fear Street books
By Geneva
R.L. Stine's "Fear Street" is a classic series. He is one of those authors who's writing appeals to people of all ages, no matter how many years have gone by since the books were published. I for one, have been a fan of "fear Street" for many years now. In fact, I started with the ever popular "goosebumps" series, and then moved onto "fear street" and have been reading and collecting the series ever since. Even though I'm 19 now, I still enjoy indulging myself in these books. Sure, the storylines are a bit corny for someone of my age, yet I still find great enjoyment in reading them.

I'm very fond of this particular book in the series, because it was the first "fear street" book that I ever read. Now that I've read the book numerous times, I realize that the plot is a bit ridiculous (even more so than some of the other books in the series) but there's also a great twist, and a really clever ending, which helps to make up for the semi-lame plot.

The book is about two best friends, Sydney and Emma, who find a bag of money in a garbage can outside of their workplace. Sydney, the rich girl, is hesitant to keep it, but Emma, the poor one, convinces her that they should keep it, and they decide to hide the money and agree not to tell anyone about it until their sure its safe. Sydney breaks the agreement and lets their secret slip to her boyfriend Jason, and Emma becomes convinced that Jason is planning on murdering the both of them in order to keep the money for himself. In order to ensure their safety, emma and sydney agree to let Jason have a share of the money, but Emma ends up "killing" Jason after he tries to take the money for himself. Afterwards, strange things start happening to Sydney, and she's convinced that someone saw her and emma in the woods the night that they killed Jason, and she's also convinced that Jasons ghost is haunting her.

But is Jason really dead...?

If you've never read a fear street book, I do recommend that you read this one. Even though its not my favorite one out of the series, its the one that managed to get me addicted, so I'm sure it'll do the same for you!

0 of 1 people found the following review helpful.
Not one of the better Fear Street books.
By Donna C
This is a very classic Fear Street book in that it’s crappy characters being crappy to each other as the big twist at the end. Everything seems okay aside from Jason appearing to be a little murderous over money and he’s coming off as the driving antagonist in the book but the “twist” comes and it’s SURPRISE. All a ruse and no one’s really friends after all. It’s kind of s***ty, really.

The plot seemed like it was heading in an okay-enough direction as the girls find this money and decide to bury to while they wait for news about it to surface but Sydney blabs about it and now it looks like Jason wants to kill Emma out of the way for his cut of the dough. Not sure why he thinks he would be deserving but whatever.

I did like how it went psychological at the end and even with the s***ty twist this particular portion of it worked out pretty well and was pretty inventive. I have to give the book that. But it’s incredibly disappointing that I keep going into the Fear Street books not believing any of the friendships because more often than not they turn out to be fake in some way. THE RICH GIRL didn’t disappoint in that regard. While the crappy friend got a smidge of comeuppance at the end and it’s supposed to be oh no! We did all that work for nothing! Only to have me end up thinking you destroyed someone’s life for nothing! The comeuppance was stupidly pale against what they actually did to someone so it wasn’t much of an ending.

I do still like how unapologetic with killing kids Stine is. Oh, kid got smashed in the head with a shovel. He’s dead! Let’s sink him in a lake. While not the most creative Fear Street death the characters deal with it in proper Fear Street fashion with at least one of them getting over it really quickly. The other, not so much and THAT was a nice departure from the normal. Someone who actually feels guilty about something. SO RARE.

Not impressed with THE RICH GIRL. It doesn’t have a ton of originality except as part of the twist ending, the characters suck (except for one but she gets the crap end of the deal in her literary life), and the ending wasn’t fulfilling. What little good there was here it was grossly overshadowed by the . . . not good.

2

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Minggu, 10 Oktober 2010

[T658.Ebook] PDF Download Close Encounters of the Furred Kind, by Tom Cox

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Close Encounters of the Furred Kind, by Tom Cox

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Close Encounters of the Furred Kind, by Tom Cox

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Close Encounters of the Furred Kind, by Tom Cox

  • Sales Rank: #341869 in Books
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.11" h x .71" w x 6.18" l, .55 pounds
  • Binding: Paperback

Most helpful customer reviews

6 of 6 people found the following review helpful.
More love
By T. Taylor
If you are hooked on mysadcat - this is an absolute MUST read.

Tom relates his move to Devon from Norfolk in England with The Bear, Ralph, Shipley and Roscoe ... truly an adventure that should not be engaged by the weak of heart. The Bear is stoic - as always. A new cat - George - tries to adopt Tom...

The stories are funny, and laugh out loud - told as only a man owned by his cats can tell them - from the heart. I laughed and I cried.

Not yet published in the USA (boo) it can be obtained through Amazon via third party sellers, so don't let a little thing like being published in England be a deterrent. According to the back cover it is also available as an ebook.

4 of 4 people found the following review helpful.
Purr-fect
By TheBunny
I had to have this sent to me by a friend in the UK so I could read it on my computer. (I am too impatient to wait for shipping and the deal was better even after exchange rates and taxes.) The attached photo is proof that I had it, and on my computer, LOL as I am not able to leave a "verified" review.

I absolutely loved this. The Bear, Ralph, Roscoe and Shipley might just be my new idols. Ivy, well, it apparently is my nemesis if I ever need to trim it...and moving without hiring a mover, it would seem, actually IS worse than death (although the author thinks he may actually be dead after the experience) and divorce. Who knew? Wait, the author's dad. :)

The charm of the book is the cats, the obvious love for them that Tom Cox has, and the wonderful way the author tells a story. His observations about life, cats, moving, and people in general are charming.

Get comfortable, get a cup of hot cocoa (preferably with a bit of amaretto if it is up to me) and cuddle in..The book is like hanging out with 5 friends, one human and 4 who think they are...

2 of 2 people found the following review helpful.
Not just a cat book. a life book.
By the kat
I have LOVED this series, and Mr. Coxʻs writing in general. As i read through this one, i sense a bit of sadness - maybe itʻs just me. Mr. Cox seems to regard life through - wiser, yet no less humorous? - eyes. as his companions come (and go) through his life, one feels the love, appreciation and nostalgia for his beloved ones (feline and human) with all their charm and foibles. i certainly wish i could write like him, and go through life like him. he has much to share.

the kat meows!!!!

ps, thank you so much, Mr. Cox, if you ever read this.

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