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What are the best tutorials you found so far about Neural and Bayesian networks?
I don't need books but, instead, some basic introduction to understand and use related libraries.
These tutorials from Andrew Moore are a very good -- and not too heavy -- introduction to machine learning topics: http://www.autonlab.org/tutorials/. There is a tutorial for both neural networks and Bayesian networks.
My text for this sort of stuff in school was 'Pattern Classification' by Duda, Hart, and Stork.
There is an implementation of bayesian networks called JavaBayes, I consider a good software, read the doicumentation provided at the site.
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I have to simulate Neural Network in CUDA but I don't know much about this technology. Where should I start?
These questions aren't well-suited on SO, but I'm posting a few resources you might start with anyway
The "Learning CUDA" section of the NVIDIA website is the best spot on resources and tutorials to get you up to speed: https://developer.nvidia.com/how-to-cuda-c-cpp
CUDA by Example(beginner) and Programming Massively Parallel Processors (intermediate) are also two good resources targeted to novices and intermediate CUDA users. There are lots more on the subject in the "Books" section of the NVIDIA website.
Once you got familiar with the basics of CUDA I recommend studying the CUDA SDK samples.
Regarding AI topics (I suppose "Network" means "Neural Network") there are some academic papers and lectures you might start with, but those would prove useless if you don't have a CUDA background first.
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I'm having a difficult time understanding its tutorials.
Either they are too advanced or do not work
If you are an advanced user, please tell me how you started off.
Derick Bailey has a blog post on this, although it's a bit old: http://lostechies.com/derickbailey/2011/09/13/resources-for-and-how-i-learned-backbone-js/
They way I started (although with Marionette which is built on top of Backbone) was to create some small projects to see how the various parts worked together: http://davidsulc.com/blog/category/backbone-js/backbone-marionette/
To help other people along, I then wrote a book that builds a non-trivial application step by step: http://davidsulc.github.io/marionette-gentle-introduction/#contacts
If you learn best by digging in source code, you can see it here: https://github.com/davidsulc/marionette-gentle-introduction
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My task is to conduct a study on artificial intelligence that answer maybe just 20 questions.
I tried to look for a study and term papers on google and i'm having a hard time to find some related literature to start my study.
My knowledge on artificial intelligence is small.
Where can i find some related literature for the said study? My goal is just to make an AI that answer question related to processes that our school conduct. Please be easy on me. I know that i'm a noob.
Read this : https://en.wikipedia.org/wiki/Natural_language_processing
And build from there. You can use Google Scholar to find actual scientific papers once you've found the keywords you want.
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Any recommendations for a c-library implementing elliptic curve cryptography - the smaller the better.
I know openSSL provides it, but I want something as small as possible. It doesn't need any fancy stuff like constant time encryption / decryption / signing either.
Bonus points for nice-looking code.
LibTomCrypt has a pretty terse ecc module.
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Does someone know where I can find a tutorial or material relating to Base24? I'm referring to Base24 the product by ACI. My understanding is that they use a programming language called 'TAL' which has similarities to Cobol and C.
I've searched the net and I have only found job opportunities for Base24 developers but hardly any learning resources.
Cheers
TAL stands for "Transaction Application Language" and is supported by HP.
There's a programmer's guide here and a reference manual here.
I googled for base24 programming and the second hit was this http://2020ok.com/books/13/a-guide-to-using-aci-worldwide-s-base24-es-on-z-os-34513.htm