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Jarek Wilkiewicz
Works at Google
Attended Carnegie Mellon
Lives in Silicon Valley
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Jarek Wilkiewicz

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bash-handbook: http://bit.ly/1PUJMF4 - lots of great tips to level up your CLI productivity. Good read!
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Jarek Wilkiewicz

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Last December we replaced the Freebase API with the Knowledge Graph Search API to help with searching the Knowledge Graph. 

Today, we’re happy to announce the Knowledge Graph Search Widget (https://developers.google.com/knowledge-graph/how-tos/search-widget). This widget is the replacement for the Freebase Suggest widget. It leverages the Knowledge Graph Search API and makes it easier for users to search the Knowledge Graph using the API. 

We will continue to support the Freebase API and widget for three full months, at which point we will shut it down. If you want to stay updated on future improvements to our Search-related developer offerings, please follow our Google Developers channel at https://plus.google.com/+GoogleDevelopers.

The Google Knowledge Graph Team
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Jarek Wilkiewicz

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Understanding Machine Learning, © 2014 by Shai Shalev-Shwartz and Shai Ben-David

Published 2014 by Cambridge University Press

PDF of manuscript posted by permission of Cambridge University Press.

Users may download a copy for personal use only.

http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html


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Jarek Wilkiewicz

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Our brand new Deep Learning Course, a collaboration between Google and Udacity, will have you learning and mastering these techniques!
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I will respond to questions in a question-answering session (kind of AMA) on Quora, Tuesday the 19th (3 PM Pacific, 6PM Eastern). Many questions are already posted. People can add questions and vote for those they care most about.
https://www.quora.com/profile/Yoshua-Bengio/session/37/
Deep learning, machine learning, artificial intelligence, academia. Neural language models and their derivatives, recurrent neural networks, convolutional ne...
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Interested in pursuing a career in deep learning research? Apply now to the Google Brain Residency Program! The application deadline is Friday, January 15, 2016

The Google Brain Residency Program is a 1 year intensive residency program designed to jumpstart your career in deep learning. This program aims to help residents become productive and successful deep learning researchers. Successful applicants will have the opportunity to perform cutting edge research and work alongside some of the most distinguished deep learning scientists and experts within the Google Brain Team. 

Ideal candidates would have a bachelor’s degree or a graduate degree (e.g. M.S. or Ph.D.), preferably in computer science, mathematics, or statistics. Applicants would present evidence of proficiency in programming and in the prerequisite courses. Evidence can be in the form of academic transcripts, letters of recommendation, notable performance in competitions and links to open-source projects that demonstrates programming and mathematical ability. 

To learn more about the program, application timelines and apply at http://g.co/brainresidency.  

Send any questions you may have to brain-residency@google.com.
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Jarek Wilkiewicz

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NIPS 2015 Deep Learning tutorial Geoffrey E. Hinton, Yann LeCun, and Yoshua Bengio

http://research.microsoft.com/apps/video/default.aspx?id=259574&r=1

slides:

https://drive.google.com/file/d/0BxKBnD5y2M8NVnBpbWVwYUpQTjg/view
Deep Learning allows computational models composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection, and many other ...
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Take a highly engineered state-of-the-art system, strip it down, replace it with a LSTM, and train it using a loss that matches your problem. Does that recipe sound familiar?
Venue. International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE (2016). Publication Year. 2016. Authors. Georg Heigold, Ignacio Moreno, Samy Bengio, Noam M. Shazeer. BibTeX. @inproceedings{44681, title = {End-to-End Text-Dependent Speaker Verification}, author = {Georg ...
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Impressive
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My Deep Learning Course with Udacity is live!

Four lectures and corresponding TensorFlow notebooks to learn about deep nets, convnets, embeddings, RNNs, and all the tricks to make them work!

Very excited to finally share, this was a lot of fun to put together.
Our brand new Deep Learning Course, a collaboration between Google and Udacity, will have you learning and mastering these techniques!
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A massive collection of free developer ebooks, courtesy of the GitHub community: http://msft.it/6266BXGkO
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I so wish I had the opportunity to meet the requirements for a chance to
be one of the few people who are worthwhile thanks for your time
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Utkarsh Srivastava's profile photo
kevin Fox's profile photo
01064695111 울산풀싸롱's profile photo
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Wojtass Kriu's profile photo
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Education
  • Carnegie Mellon
  • The University of Memphis
  • Politechnika Wrocławska
Basic Information
Gender
Male
Story
Tagline
ML @ 10^100
Introduction
Born in Kraków, now in Menlo. https://twitter.com/wjarek
Work
Occupation
Technical Program Manager, Machine Learning
Employment
  • Google
    Google Search Developer Advocate, present
Places
Map of the places this user has livedMap of the places this user has livedMap of the places this user has lived
Currently
Silicon Valley
Previously
Memphis, TN - Krakow, Poland