Data Scientists Automated and Unemployed by 2025?

Will Data Scientists be unemployed by 2025? Majority of voters in latest KDnuggets Poll expect expert-level Data Science to be automated in 10 years or less. c comments By Gregory Piatetsky, @kdnuggets. Data Science Automation 2025 Data Scientist has been called the sexiest job of the 21st century. But perhaps the century will last only

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Why Machines Alone Cannot Solve the World’s Translation Problem

Sixty years ago this week, scientists at Georgetown and IBM lauded their machine translation “brain,” known as the 701 computer. The “brain” had successfully translated multiple sentences from Russian into English, leading the researchers to confidently claim that translation would be fully handled by machines in “the next few years.” Fast forward six decades, and

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An MIT deep learning book in preparation: draft chapters available for feedback

An MIT Press book in preparation Yoshua Bengio, Ian Goodfellow and Aaron Courville Citing the book in preparation If you want to cite this book in preparation, please use the following bibtex entry: @unpublished{Bengio-et-al-2015-Book, title={Deep Learning}, author={Yoshua Bengio and Ian J. Goodfellow and Aaron Courville}, note={Book in preparation for MIT Press}, url={http://www.iro.umontreal.ca/~bengioy/dlbook}, year={2015} } Draft

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Deep learning and statistical machine translation

We are living through one of the most decisive moments in machine translation history. The funding landscape in Europe is changing dramatically: the MosesCore project concluded the series of support projects for the Moses system funded by the European Commission. Now the project has come to an end, Moses as a commercial MT solution is

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ECMLPKDD 2015 : PhD Session

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2015) will take place on September 7 of 2015, in Porto Portugal (http://www.ecmlpkdd2015.org/). The conference includes a PhD session that provides an environment for students to exchange their ideas and experiences with peers and senior researchers in machine learning,

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Release of Autodesk Post-Editing Data Corpus

It is my pleasure to announce the release of the Autodesk Post-Editing Data corpus with the ISLRN 290-859-676-529-5 (http://www.islrn.org/resources/identify_islrn/). This resource contains parallel English source–MT/TM target segments post-edited into several languages (Simplified and Traditional Chinese, Czech, French, German, Hungarian, Italian, Japanese, Korean, Polish, Brazilian Portuguese, Russian, Spanish) with between 30000 and 410000 segments per language.

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