Kamis, 29 September 2011

Free Ebook

Free Ebook

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Free Ebook

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Product details

File Size: 9997 KB

Print Length: 330 pages

Simultaneous Device Usage: Unlimited

Publisher: O'Reilly Media; 1 edition (April 14, 2015)

Publication Date: April 14, 2015

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B00W4DTP2A

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Amazon Best Sellers Rank:

#39,480 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

Good introduction to data analysis.The clear syntax grammar of Python helps a lot to clarify the meaning of author.

In my view, too many people want to be data scientist and use advance statistical techniques that they don't fully understand. I believe Grus closes this gap with this fun introductory book to some of the basic techniques in data analysis. If you don't come from a statistical background (MS/PhD), then you should start with this book and move on to other texts such as Pattern Recognition and Neural Networks by Brian D. Ripley for a thorough review of classification methods, or the more popular and modern The Elements of Statistical Learning By Hastie, Tibshirani and Friedman.

I thoroughly enjoyed this book, one of my favorite books ever on programming. It does three things superbly: covers the basic low level tools of a data scientist (the "from scratch" part), gives a great overview of useful Python programming examples for those new to Python, and gives an amazingly succinct yet high level overview of the mathematics and statistics required for data science.At first I was very worried about this book based on the first few chapters for the one reason that the author was cracking jokes throughout the text and I thought if it kept up for the rest of the book I was going to be very upset. But it did not happen and it turns out to have been a very reasonable way to ease into this complicated subject.The author steps through the toolbox of the data scientist, chapter by chapter, giving useful, insightful, clear pieces of code and textual explanations of each topic. So, for those new to data science it gives just enough to get the basic idea of a concept in terms of code and mathematical explanation, and then moves on to the next topic.It is often said that in writing, less is better and this book gets things down to their essence. That is one of the great things about the book - that the length of each chapter is about 20 pages (over 25 chapters). So each chapter can be read and the code even exercised in about an hour. Further, the references at the end of each chapter invite the reader to expanded information at the level of one or more entire textbooks or references. Thus the book can be seen as kind of boiling down a 25-volume set of highly technical subject matter into roughly 300 pages.The topics that were explored the best seem to be the ones on probability, working with data, regression, clustering, and databases (SQL). Some of the small but dense code samples were tough to follow but that is based on their algorithmic complexity - such as that for logistical regression and MapReduce. Occasionally the author uses a term that is not defined or in the index (such as data munging - which I still haven't looked up to see what it means). There are only a small number of typos which indicates good editing. While the Python crash course was pretty good, Python is a vast language and there could have been more to that section.I read this book from cover to cover and stepped through logically all the code (but did not actually run any of it) and I would wholeheartedly recommend this book for anyone wanting to work in the area of data science or its related fields, such as big data engineering or data analysis.

Started programming Python immediately with this book. Lots of concepts for one book. I like that that there are enough details to write a functional program for each chapter and not too many details. It's important to find a proper material to start, and this book, in my opinion, does it perfectly.

This is a great book-- well written, easy to digest and informative. I've been in Data Mining and Statistical Analysis for a little over a decade now; I was looking for a book to share with my team to ensure we were all up-to-speed on some foundational concepts: this book is it. EDIT: I also forgot to mention, it has probably the best get-up-and-running in Python introduction I've seen (see, e.g., Chapter 2, ~20pp.)It's the right size and correct coverage for the content and the author's sense of humor (indeed, that of a data scientist) resonates with the audience.Solid introduction, even better review or brief explanation of commonly encountered topics.One of the best O'Reilly books I've read in a long time-- in fact, a technical book at the level I used to expect from O'Reilly.

Minus one star for using outdated Python 2.7. Essentially ALL data science tools you are likely to run across have been updated to Python 3.4+. I would have knocked off two stars but this book is actually quite good and delivers on its title.This is a very basic book on Data Science but it gives a broad overview which helps you get a perspective on the tools that are available. This book teaches methods by developing actual code for these methods. You will find in work situations that you will use library functions instead of "rolling your own" but this book helps bring the details together by having you actually code these techniques. I support this approach 100% Once you have this overview, you can drill down into specifics with other materials like textbooks or cookbooks.I'd did flinch at some of the explanations in this book but it really is a "from Scratch" approach and some things are simplified to avoid distractions.This book also teaches basic Python 2.7 with a quick start chapter, so it is self contained for any scientist or engineer that wants to get started adding Data Science techniques to their repertoire.

You will construct functions that calculate the variance, standard deviation etc. up to constructing more advanced machine learning functions, from scratch.What is pretty underrated about this book is the very clever/clean (and challenging) way of constructing code and solving problems. Things can get very ....nested. Very valuable resource that I come back to again and again.

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Jumat, 16 September 2011

Ebook 501 Great Scrapbook Page Ideas

Ebook 501 Great Scrapbook Page Ideas

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501 Great Scrapbook Page Ideas

501 Great Scrapbook Page Ideas


501 Great Scrapbook Page Ideas


Ebook 501 Great Scrapbook Page Ideas

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501 Great Scrapbook Page Ideas

Product details

Paperback: 192 pages

Publisher: Memory Makers; Fourth Edition edition (March 26, 2005)

Language: English

ISBN-10: 1892127520

ISBN-13: 978-1892127525

Product Dimensions:

8.5 x 0.5 x 10.9 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

Average Customer Review:

3.9 out of 5 stars

22 customer reviews

Amazon Best Sellers Rank:

#232,283 in Books (See Top 100 in Books)

This book had a tremendous amount of great ideas to use in my scrapbooking collection. Thank you for such a wide variety of examples.

I was very excited to receive this book. After looking from cover to cover I was hoping that their would be one idea that I would like. I realized that this book is very dated in the style of scrapping. I think that their are other books that would have been a much better choice. However for the money I suppose I got what I paid for.

I love this book. I have just about every scrapbook ideabook out there by Creating Keepsakes, Paper Crafts, & Memory Makers. This one is a major favorite of mine. It's broken into wonderfully unique sections new inspiration to "think out of the box" while designing my scrapbook layout. The layouts are great, and just the right complexity so some normal jane scrapbooker like me can do them and has the embellishments needed without fancy techniques.Also recommended: PET PAGES UNLEASHED by Memory Makers!!!!!

Has some good ideas but I think it would be better for beginner scrapbookers. There really weren't any ideas that I hadn't seen elsewhere. I'd have to say it's not for a very experienced hobbyist. Still, for what I paid for it, it's worth it..lol.

Ever have a blank moment when creating pages? This book, along with Travel & Vacation and the 601 Idea Book has made my life much simpler in getting started on scrapping our trips. These are good books to glean great ideas for exceptional pages.

After reading the reviews I was really excited about receiving this book. Well when it came and I looked at it page to page thoroughly I was very disappointed and sorry I had wasted the money on it. There are many other books out there that are alot better. May be alright for a beginner but for an experience scrapbooker no.

Lots and lots of ideas

I love scrapbooking and sometimes I get in a spot where I can think of how to put a page together for a certain theme. The scrapbook book helps you with ideas. It has a lot of neat page samples in the book that you can use or it can help you create one of your own. Great book to have while scrapbooking!

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501 Great Scrapbook Page Ideas PDF

501 Great Scrapbook Page Ideas PDF

501 Great Scrapbook Page Ideas PDF
501 Great Scrapbook Page Ideas PDF