Now you can play with TF in your browsert.

HINT: try selecting only first 2 inputs for second data set and then add x1x2 as an input for the same dataset.

http://playground.tensorflow.org/#activation=tanh&batchSize=23&dataset=xor&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=0&networkShape=7,3,2&seed=0.01463&showTestData=false&discretize=false&percTrainData=40&x=true&y=true&xTimesY=false&xSquared=false&ySquared=true&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification

Numerai was featured in the Financial Times this morning.

AI hedge fund, Numer.ai raises $1.5m from cofounder of Renaissance Technologies

The story is top of r/finance, growing on r/MachineLearning, and on Hacker News. I'll personally be responding to comments on Reddit.

Richard
numer.ai

Challenge by NVidia. GPU cards as prizes:

https://orderof10.com/challenges/about

By the way, if you read this channel and know russian, you can watch Kaggle Trainings online @ https://youtu.be/1HrkBzLBJQg

You can also apply for membership in ru-speaking Open Data Science community at http://opendatascience.ru/
In the appplication form in the name of participant put [at]malev as referencing member.

English-speakers are welcome, but most of the content is in russian, though you kindly welcome to introduce yourself at [hashtag]welcome channel and ask questions in [hashtag]general.

http://www.theguardian.com/politics/ng-interactive/2016/jun/23/eu-referendum-live-results-and-analysis

#UK #infographics

Our russian-speaking subscribers can enjoy kaggle training session: https://youtu.be/LJH6tnN0WDE

We launched @opendatasciencebot to get suggestions about the news for this channel. So feel free to send any links or news you find useful.

https://gab41.lab41.org/flexible-image-tagging-with-fast0tag-681c6283c9b7#.tct1fx8xn

Great text about image tagging

https://github.com/facebookresearch/fastText

If you missed it, there is yet another great project for text mining

Great @addmeto channel just posted a link to https://github.com/paarthneekhara/text-to-image

This is an image generation from text. Nice example of end2end learning.

Post from FB research team: https://research.facebook.com/blog/learning-to-segment/

And direct github link: https://github.com/facebookresearch/deepmask

Facebook revealed list of universities that will receive academically support. Check if your school received one and have our congratulations. And don't hesitate to congrat your colleagues

https://research.facebook.com/blog/facebook-to-accelerate-global-ai-research-with-new-gpu-program-recipients/

How Sander Dieleman gor into Google DeepMind through Kaggle:

http://blog.kaggle.com/2016/08/29/from-kaggle-to-google-deepmind-an-interview-with-sander-dieleman/

Post about openai infrastructure for deep learning.

This is extremely rare case, because usually this information is not available and discussed publicly.

https://openai.com/blog/infrastructure-for-deep-learning/

http://www.news.cornell.edu/stories/2016/08/where-can-i-buy-chair-app-will-tell-you


Cornell University managed to release an app able to find common furniture online.

So if you see a sofa you like, you can just search for it online, to order the same in an instant.

Retailers' dream.

Apache Spark @Scale: A 60 TB+ production use case from Facebook.

https://databricks.com/blog/2016/08/31/apache-spark-scale-a-60-tb-production-use-case.html

This is next to HUGE.

Repo with PDF copy of http://www.deeplearningbook.org by Ian Goodfellow and Yoshua Bengio and Aaron Courville

https://github.com/HFTrader/DeepLearningBook