ai

General AI including ML  (not assessment, text mining and text classification, etc. related)   aka aifc aes

e.g. Expert Systems and ML applied to vision, translation, etc.
  
See also:  HAL archive here  (requires access permission)
 
AI for Medicine; ML for Medicine; Deep Learning for Medicine: all HERE

http://datascience.uci.edu  data science at UCI  Smyth  AES  ML  RapidMiner 


 

Amazon Machine Learning (HERE)

 
Open Source AI & Machine Learning 

 
http://ankara.lti.cs.cmu.edu/side/
LightSIDE from CMU:   

It is available here:   http://ankara.lti.cs.cmu.edu/side/ 

http://ankara.lti.cs.cmu.edu/side/

google group here
 
Alchemy: 

http://alchemy.cs.washington.edu


 

www.rapidminer.com


RapidMiner:
lots more here

rapidminer






(now open source Apache) 
 
Microsoft - Azure Machine Learning Studio
 
www.continuum.com


Google - TensorFlow 

TensorFlow

 
Facebook -  AI / ML to open source 
Torch project
https://github.com/torch/torch7


 

The DALMOOC on EdX
https://linkresearchlab.org/dalmooc/

and BDE on EdX (archived):
(big data in education)

and

Ryan Baker's Courses both here and

 

 Machine Learning at CMU

 Ryan Shaun Baker PhD
Alchemy is funded by: 



 


http://sites.uci.edu/automatedreasoninggroup/       automated reasoning group

vision.caltech.edu           latent dirichlet analysis   Ryszard S. Michalski

ImageNet:    http://www.image-net.org here

http://www-cs.stanford.edu/content/imagenet-large-scale-hierarchical-image-database

Google Open Source AI:   TensorFlow here

Padhraic Smyth's talk 151111:

the master algorithm:  pedro domingos... book... a bit of hype... but a good book.

bits / dollar on a logarithmic scale (vertical) x-axis time / years....

factor in sensors, storage, computation power, analysis methods, and internet? 

before 1994 -- pre-internet.  can collect and share data...much more easily.  

facebook: friendship graph - at 500 million users, 130 average edges per node, 60 billion edges... 

3 billion photos per month, 30 billion content items shared every month.

Face detection now mostly a solved problem -- due to amount of data, compute power, etc.  

Lots of data from Large Hadron Collider at CERN too.  Daniel Whiteson, Physics dept. 

Tensor Flow / ACM learning seminar   Title: TensorFlow: A Framework for Scalable Machine Learning

Date: Wednesday, October 19, 2016

Time: 12:00 PM Eastern Daylight Time

Duration: 1 hour