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   blog / ML explained here

http://datascience.uci.edu  data science at UCI  Smyth  AES  ML  RapidMiner summary of open source data libraries attached.
includes 


 

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: 



 
It's interesting to see that General Electric developed their Data Science and Machine Learning capabilities through acqui hiring. SmartSignal, Wise,io, and Bit Stew are three that I've heard about.




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

Test your computer to make sure you meet the minimum technical requirements.

Test Your System: http://event.on24.com/utils/test/testYourSystem.html?eventid=1244624&sessionid=1&key=286042D537A45A41F7ECC947A3D2C193&checkBrowser=true&checkOS=true&checkBandwidth=true&checkCookie=true&ngwebcast=true&ngwebcast=true

 

https://medium.com/activewizards-machine-learning-company/top-15-python-libraries-for-data-science-in-in-2017-ab61b4f9b4a7

Copy of Medium post about key Python Data Libraries for decision science, visualization, machine learning, deep learning, NLP and data mining / statistics is attached.


Top 15 Python Libraries for Data Science in 2017 ............................................................................. 1

I. Core Libraries. .......................................................................................................................... 2

1. NumPy (Commits: 15980, Contributors: 522) ...................................................................................................................... 2

2. SciPy (Commits: 17213, Contributors: 489) .......................................................................................................................... 2

3. Pandas (Commits: 15089, Contributors: 762) ...................................................................................................................... 3

II. Visualization. ........................................................................................................................... 5

4.Matplotlib (Commits: 21754, Contributors: 588) ................................................................................................................. 5

5. Seaborn (Commits: 1699, Contributors: 71) ......................................................................................................................... 6

6. Bokeh (Commits: 15724, Contributors: 223) ........................................................................................................................ 7

7. Plotly (Commits: 2486, Contributors: 33) .............................................................................................................................. 8

III. Machine Learning. ................................................................................................................ 9

8. SciKit-Learn (Commits: 21793, Contributors: 842) ........................................................................................................... 9

IV. Deep Learning — Keras / TensorFlow / Theano .................................................................... 10

9.Theano. (Commits: 25870, Contributors: 300) ................................................................................................................... 10

10. TensorFlow. (Commits: 16785, Contributors: 795) ...................................................................................................... 11

11. Keras. (Commits: 3519, Contributors: 428) ..................................................................................................................... 12

V. Natural Language Processing. ................................................................................................. 13

12. NLTK (Commits: 12449, Contributors: 196) .................................................................................................................... 13

13. Gensim (Commits: 2878, Contributors: 179) ................................................................................................................... 14

VI. Data Mining. Statistics. ....................................................................................................... 15

14. Scrapy (Commits: 6325, Contributors: 243) .................................................................................................................... 15

15. Statsmodels (Commits: 8960, Contributors: 119) ......................................................................................................... 15

VII. Conclusions. ........................................................................................................................ 16