Are you interested in Machine Learning, Natural Language Processing (NLP), Deep Learning and similar stuff? Have a look at various applications of the "smart technologies". Get inspired by online demos, blogs, tools and more. The presentation "Demo Meetup" was used (in a slightly modified version) during my talk at Machine Learning Meetup at Prague. Several links I had got after the talk were added to the slides.

1. Today – March 18th 2015:
Demo Meetup
Marek Modrý
www.mlmu.cz

2. What are we doing today?
• Not many technical facts
• A lot of interesting things
• Inspiration everywhere
• A lot of stuff you have already seen before
• Today‘s rules: Ask any time, ask anybody,
answer all the questions

3. Before we start …
Is there something missing?
Video, blog, demo, link, ...?
Message us, tell us ...

4. „Czech“ blogs
Jiří Materna – www.mlguru.cz
Radim Řehůřek – www.radimrehurek.com/blog/
Bohouš Zámečník – www.nerual.cz

5. More blogs
Blogs:
• http://hunch.net/
• http://mark.reid.name/blog/
• http://blog.smola.org/
• http://yaroslavvb.blogspot.cz/
• http://blog.echen.me/
• http://brenocon.com/blog/
• http://datamining.typepad.co
m/data_mining/
• https://justindomke.wordpress
.com/
• http://nlpers.blogspot.cz/
• http://blog.oddhead.com/
• http://aicoder.blogspot.cz/
• http://lingpipe-blog.com/
• http://yyue.blogspot.cz/
• http://blog.mikiobraun.de/
Blogs related inspiration:
• http://www.cs.waikato.ac.nz/~
bernhard/good-machine-
learning-blogs.html

6. QA systems, chatbots a assistents
Echo, Pepper, Jibo, Keecker

7. QA systems, chatbots a assistents
Chatbots talk and argue with each other
https://www.youtube.com/watch?v=vphmJEpLXU0
IBM Watson – Jeopardy (Riskuj!) – YouTube
https://www.youtube.com/watch?v=P18EdAKuC1U

8. QA systems, chatbots a assistents
AskHERMES – www.askhermes.org
• Searches through a medical database and synthesizes
short extracts
• What are symptoms of flu? / How can I recognize a broken leg?
PandoraBots - www.pandorabots.com
• Chomsky - http://goo.gl/p65Pku
• RESTful API for AI chatbots integration
• Free $ 0 – 25 calls a day, 2 bots

9. QA systems, chatbots a assistents
YodaQA - http://live.ailao.eu/
• Petr Baudiš, YodaQA
• http://ailao.eu/yodaqa/
• OpenSource
Czech dialog system Alex - http://ufal.mff.cuni.cz/alex/cs
• Tel: 800 899 998 (free)

10. QA systems, chatbots a assistents
WolframAlpha - http://www.wolframalpha.com/
• Try on your own:
– House in czech
– What is the purpose of life?
– Average number of bones in human body
– Draw me a house, a cat …
– Random person curve
– Who won SuperBowl this year?

11. WolframAlpha – „draw a frog“

12. WolframAlpha – „draw a frog“
Equation
included …

13. Visualization
Setosa.IO – http://setosa.io/ev/
• Markov chains- http://goo.gl/DBNudM
• Eigenvalues/vectors - http://goo.gl/LrWdpe
Plotly - https://plot.ly/plot
• Web interface (from data or by clicking)
• API (Python, MATLAB, R, Node.js, Julia, Excel)

14. Visualization
D3.js - http://d3js.org/
• Javascript figures/ charts
• http://bost.ocks.org/mike/miserables/
• Python – d3py
Bokeh - http://bokeh.pydata.org/en/latest/
• D3.js style Python interactive visualization
• http://bokeh.pydata.org/en/latest/docs/gallery/les_mis.html
• Bokeh-server -> responses from interface

15. Visualization
t-SNE
http://cs.stanford.edu/people/karpathy/tsnejs/index.html

16. Natural Language Processing
Sentiment Analysis
• Stanford Sentiment Analysis online demo
• http://nlp.stanford.edu:8080/sentiment/rntnDemo.html
Example text: I find it so amazing that even after all these years, we are
STILL talking about this movie! Obviously this movie wasn't that bad or
else people wouldn't even bother to talk about it. I personally enjoyed this
film immensly, and still do! I guess this film isn't for everyone, but it
certainly did touch the hearts of many.

17. Natural Language Processing
Stanford CoreNLP
• http://nlp.stanford.edu:8080/corenlp/
• Example text: I find it so amazing that even after all
these years, we are STILL talking about this movie!
Stanford Parser
• http://nlp.stanford.edu:8080/parser/index.jsp
Stemming
• http://text-processing.com/demo/stem/ (Python
knihovna)

18. Natural Language Processing
Semantic Role Labeling Demo
(University of Illinois - Coursera kurzy)
• http://cogcomp.cs.illinois.edu/page/demo_view/srl
• Example: A squirrel is storing a lot of nuts to prepare for a
seasonal change in the environment.
Other demos:
• http://cogcomp.cs.illinois.edu/page/demos/
• http://www.conversational-
technologies.com/nldemos/nlDemos.html

19. Natural Language Processing
Stanford Named Entity Tagger
http://nlp.stanford.edu:8080/ner/process
Example text: 84 years later, a 101-year-old woman named Rose DeWitt
Bukater tells the story to her granddaughter Lizzy Calvert, Brock Lovett, Lewis
Bodine, Bobby Buell and Anatoly Mikailavich on the Keldysh about her life set
in April 10th 1912, on a ship called Titanic when young Rose boards the
departing ship with the upper-class passengers and her mother, Ruth DeWitt
Bukater, and her fiancé, Caledon Hockley. Meanwhile, a drifter and artist
named Jack Dawson and his best friend Fabrizio De Rossi win third-class
tickets to the ship in a game. And she explains the whole story from departure
until the death of Titanic on its first and last voyage April 15th, 1912 at 2:20 in
the morning.

20. Natural Language Processing
Shopping list
http://nlportal.elasticbeanstalk.com/understanding.html
Example text: In a Dutch oven, cook sausage, ground beef, onion, and garlic over medium heat until well
browned. Stir in crushed tomatoes, tomato paste, tomato sauce, and water. Season with sugar, basil, fennel
seeds, Italian seasoning, 1 tablespoon salt, pepper, and 2 tablespoons parsley. Simmer, covered, for about 1
1/2 hours, stirring occasionally. Bring a large pot of lightly salted water to a boil. Cook lasagna noodles in
boiling water for 8 to 10 minutes. Drain noodles, and rinse with cold water. In a mixing bowl, combine
ricotta cheese with egg, remaining parsley, and 1/2 teaspoon salt. Preheat oven to 375 degrees F (190
degrees C). To assemble, spread 1 1/2 cups of meat sauce in the bottom of a 9x13 inch baking dish.
Arrange 6 noodles lengthwise over meat sauce. Spread with one half of the ricotta cheese mixture. Top
with a third of mozzarella cheese slices. Spoon 1 1/2 cups meat sauce over mozzarella, and sprinkle with
1/4 cup Parmesan cheese. Repeat layers, and top with remaining mozzarella and Parmesan cheese. Cover
with foil: to prevent sticking, either spray foil with cooking spray, or make sure the foil does not touch the
cheese. Bake in preheated oven for 25 minutes. Remove foil, and bake an additional 25 minutes. Cool for 15
minutes before serving.

21. Approaching Deep Learning
MetaMind demos
• Deep Learning solutions for enterprises
– https://www.metamind.io
• Sentiment at Twitter:
– https://www.metamind.io/language/twitter
• Identify stuff in images (DeViSE)
– https://www.metamind.io/vision/general
• Semantic Similarity, Food Classifier …

22. Deep Learning
DeepMind
• Playing Atari games based on visual input
– https://www.youtube.com/watch?v=V1eYniJ0Rnk
Handwriting
– http://www.cs.toronto.edu/~graves/handwriting.html
Image understanding
– http://www.cs.toronto.edu/~nitish/nips2014demo/index.html

23. Deep Learning
Clarif.ai
http://www.clarifai.com/
Caffe
http://demo.caffe.berkeleyvision.org/classify_url?imageurl=http%3A%2F%
2Fupload.wikimedia.org%2Fwikipedia%2Fcommons%2Fd%2Fd6%2FSkate
boarder_in_the_air.jpg
Other deep learning demos:
http://deeplearning.net/demos/

24. Word2Vec
• Word2Vec, GenSim
• Word2Vec playground
http://deeplearner.fz-qqq.net/
Example: King -> Queen = Man -> ?
France -> Paris = Japan -> ?
• Word2Vec Radim Řehůřek
http://radimrehurek.com/2014/02/word2vec-tutorial/#app
• Word2Vec + t-SNE:
http://www.codeproject.com/KB/TipsnTricks/788739/tsneplot.jpg

25. Others
• Wit.ai
– Natural Language for Developers
• Sirius - http://sirius.clarity-lab.org/
– Open-source Siri service
• Kaggle

26. Tips from our meetupers
• The Talking Machines
– Podcast about Machine Learning
– http://www.thetalkingmachines.com/
• English to Czech translation on the phone
– Experimental project translating spoken English to
Czech, Helpful tool for tourists
– tel: 277 278 178
• Morphodita - Tagger and Named Entity Recognizer
– API available,
http://lindat.mff.cuni.cz/services/morphodita/

27. Tips from our meetupers
• Treex – perl NLP framework
– NLP framework
– One of the functions:
• Analysis of Czech and English on the tectogrammatical
layer
– https://lindat.mff.cuni.cz/services/treex-web/
• Watsonson – game-with-purpose
– Automatic inference from text
– http://nlp.fi.muni.cz/projekty/watsonson/cgi-
bin/index.py

28. Do you know something else?
Did we miss something?
Video, blog, demo, link, ...?
It’s your turn! Let us know.
www.mlmu.cz