O'Reilly discounts: machine learning, nltk, hadoop, sql, nosql, aws and appeng

http://oreilly.com/store/dd-strata-dev.html

by drats • 16 years ago

77 33 16 years ago

I bought and read the one on MongoDB which is really great (concise read, to the point, and a learned a lot too). I am currently reading the NLP one and it's a great read too.

Can anyone give reviews on the other ones (for instance the one on data analysis) ?

gomer• 16 years ago

I bought and read the Collective Intelligence one and enjoyed it. It's a good read.

jlees• 16 years ago

Agreed. The collective intelligence book has had good reviews from me and others on HN in the past. It's a good intro text with implementable examples.

thibaut_barrere3• 16 years ago

+1 - I actually already own this one and find it's great as well.

va_coder• 16 years ago

The Hadoop book gives lots of insights into the internals of Hadoop.

But if you want to get started quickly you might be better off just reading a quick guide (http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Li...) and using the Pig console.

shogunmike• 16 years ago

The NLP one can be found online, for free, here: http://www.nltk.org/book

3pt141592• 16 years ago

Has anyone read "Data Analysis with Open Source Tools"? http://oreilly.com/catalog/9780596802356/ I can't seem to look through the book, not even at Amazon, which I like to do before buying something.

thomas11• 16 years ago

This one is strange. It was just released this month, but without even a table of contents. How are people supposed to decide whether to buy it?

amorphous• 16 years ago

Found the contents here: http://my.safaribooksonline.com/databases/business-intellige...

brisance• 16 years ago

http://my.safaribooksonline.com/9781449389802?portal=oreilly...

3pt141592• 16 years ago

Perfect! Thank you very much!

rachelj• 16 years ago

The table of contents is now available on the book's catalog page (http://oreilly.com/catalog/9780596802356/), and you can view the table of contents and preview snippets of the content on Safari (http://my.safaribooksonline.com/9781449389802?portal=oreilly...).

codypo• 16 years ago

The Programming Collective Intelligence book on sale here is wonderful! If you want to build software that does something intelligent thanks to the mining of a tremendous set of data (think recommendation engine, price models, content classification, search engine, etc) and you're not sure where to start, start with this book. Not being a CS academic, it's hard to find useful, non-trivial introductions that I can understand on these topics. That's where this book excels. It's one of the few technical books I regularly go back to.

silentbicycle• 16 years ago

Seconded. It's got some minor errors* and omissions, but after reading it for the concepts, I've found other data mining / machine learning books much easier to follow. The explanations are usually pretty good.

* I've been doing the exercises in Lua, and got stuck on one of them - the listed algorithm (IIRC) erroneously ended with "1 - num/denom" rather than "num/denom". It's listed correctly earlier. (I can look up the specifics later, I don't have the book with me.)

ralphc• 16 years ago

Off and on I've been doing the exercises and examples in Clojure, and it's a little difficult because the Python examples seem so imperative to me. It's been a challenge turning them into functional code, there's a couple of places where I go over a list twice when I probably should be able to get all I need with one pass, and of course when I have to resort to using an atom or ref I feel a little dirty.

mattwdelong3• 16 years ago

Thank you, this answers pretty much all the questions I had for the book. Just added to my cart, and now I`m trying to decide on the "MongoDB: The Definitive Guide" book.

toby• 16 years ago

Thanks! I'm the author of this book, and it always makes me so happy whenever I read a comment like this on HN :)

jzawodn• 16 years ago

I hate to "met too" but I'm a big fan of it as well! I've built a few of the python examples into their perl equivalents over the last few months. Someday I should throw 'em up on github.

Nogwater• 16 years ago

I agree that PCI is a great introduction to the field. If you're not sure which tool to use to solve a problem, it's great for pointing you in the right direction. Just a word of warning (@toby, correct me if I'm wrong), but most of the examples are just to give you the idea and to get you started, but aren't expected to work at scale. I'd love to see a followup book on "Optimizing Collective Intelligence".

itg• 16 years ago

This will be extremely helpful while reading the book. I hope there will be an updated version in the future, one of the best introductory books I found on this subject.

http://oreilly.com/catalog/errataunconfirmed.csp?isbn=978059...

kranner• 16 years ago

I'd like to add that Stephen Marsland's 'Machine Learning: An Algorithmic Perspective' is a new book in the same practical/introductory class. The code is mostly numpy.

http://www-ist.massey.ac.nz/smarsland/MLbook.html

mattwdelong3• 16 years ago

Wait, are these just ebooks or does this stand for the print copy as well? Oddly, the receipt doesn't specify at checkout.

*Edit: Just confirmed, it`s for ebooks only.

askedrelic• 16 years ago

Ebooks :(

For personal use, this would be fine, but it's much easier to share paper books at work.

Goosey• 16 years ago

I find that I simply can't use ebooks. Sitting and reading on a computer monitor for long periods of time is just too much strain on my eyes. Funny enough that I don't have as much issue coding all day or reading hackernews.. but if I sit and try to read multi-page articles or ebooks it just seems impossible to do if it isn't on paper.

This is the one thing that tempts me into a Kindle. I wouldn't want to replace my existing books (or stop purchasing new books when available), but an increasing amount of 'long form' content I am interested in seems to be in digital-only format... and self-printing is prohibitively expensive.

thibaut_barrere3• 16 years ago

Ouch, thanks for mentioning this! I was about to buy 3 without even noticing. I really prefer paper books personally; I'm not sure I'm going to buy as much now.

eam• 16 years ago

I'm sure this is off topic, but as I was previewing the Hadoop book I saw this quote by the creator of Hadoop as to why he choose the name Hadoop:

The name my kid gave a stuffed yellow elephant. Short, relatively easy to spell and pronounce, meaningless, and not used elsewhere; those are my naming criteria. Kids are good at generating such. Googol is a kid's term.

I just see a lot of startups having a hard time finding a decent name, so that seems like a nice piece of advice worth pointing out.

ludwigvan• 16 years ago

Good discount. Also follow http://feeds.feedburner.com/oreilly/ebookdealoftheday where they discount 50% of a different book everyday.

But still, don't you think the ebooks should be priced way lower? Maybe they are expensive b/c they are drm-free. I know the fixed costs probably cost a lot, and I wonder how much printing a book costs for publishers.

bgentry• 16 years ago

Anybody read the Cassandra book? Just picked it up but I was curious if anybody else had found it to be especially useful.

O'Reilly discounts: machine learning, nltk, hadoop, sql, nosql, aws and appeng

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