KDnuggets™ News 17:n02, Jan 18: Most Popular Language For Machine Learning; Analytics & Data Science Make Business Smarter

[unable to retrieve full-text content]The Most Popular Language For Machine Learning and Data Science; Analytics & Data Science Make Business Smarter; Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science; 90 Active Blogs on Analytics, Big Data, Data Mining, and Data Science
Original Post: KDnuggets™ News 17:n02, Jan 18: Most Popular Language For Machine Learning; Analytics & Data Science Make Business Smarter

Deep Learning Can be Applied to Natural Language Processing

[unable to retrieve full-text content]This post is a rebuttal to a recent article suggesting that neural networks cannot be applied to natural language given that language is not a produced as a result of continuous function. The post delves into some additional points on deep learning as well.
Original Post: Deep Learning Can be Applied to Natural Language Processing

Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science, and more

[unable to retrieve full-text content]My exclusive interview with rock star Data Scientist Jeremy Howard, on his latest Deep Learning course, what is needed for success in Kaggle, how Enlitic is transforming medical diagnostics, and what Data Scientists should do to create value for their organization.
Original Post: Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science, and more

The Google Brain team — Looking Back on 2016

Posted by Jeff Dean, Google Senior Fellow, on behalf of the entire Google Brain teamThe Google Brain team’s long-term goal is to create more intelligent software and systems that improve people’s lives, which we pursue through both pure and applied research in a variety of different domains. And while this is obviously a long-term goal, we would like to take a step back and look at some of the progress our team has made over the past year, and share what we feel may be in store for 2017.Research PublicationsOne important way in which we assess the quality of our research is through publications in top tier international machine learning venues like ICML, NIPS, and ICLR. Last year our team had a total of 27 accepted papers at these venues, covering a wide ranging set of topics including program synthesis,…
Original Post: The Google Brain team — Looking Back on 2016

4 ways to learn about Deep Learning, Anomaly Detection and more Data Science topics online at Statistics.com

Get the personal touch that you need to deepen your learning. Online courses at Statistics.com are small,  with rich and engaging content that includes readings, videos, quizzes, homework, projects, and practical work with software.  All courses are taught online by well-respected instructors (most are authors of the text you will use, or practitioners in the field) who will answer all your questions on  a private discussion forum. Use promo code deepkdn17 for $100 discount. 1. Take a course in Deep Learning, Anomaly Detection, Spatial Statistics, Text Mining, or other advanced topics.   See the course catalog here 2. Earn a Specialization. This is a 3-course deep dive in a focused topic – details on our 8 specializations here. 3. Earn a Certificate in Data Science . Want to expand your knowledge in data science while remaining in your current job?…
Original Post: 4 ways to learn about Deep Learning, Anomaly Detection and more Data Science topics online at Statistics.com

Top /r/MachineLearning Posts, 2016: Google Brain AMA; Google Machine Learning Recipes; StarCraft II AI Research Environment

/r/MachineLearning continues to be one of the best places for breaking machine learning news, projects, discussions, and exclusive content such as AMAs, for veteran machine learning scientists as well as beginners, and the entire spectrum in between. As the new year begins, we will look back at the top stories on /r/MachineLearning from 2016. To help convey a sense of what a particular thread/discussion/post is about, I have included a poignant quote from said item when appropriate. The top 10 /r/MachineLearning posts of 2016 were: 1. AMA: We are the Google Brain team. We’d love to answer your questions about machine learning. We’re a group of research scientists and engineers that work on the Google Brain team. Our group’s mission is to make intelligent machines, and to use them to improve people’s lives. For the last five years, we’ve conducted…
Original Post: Top /r/MachineLearning Posts, 2016: Google Brain AMA; Google Machine Learning Recipes; StarCraft II AI Research Environment

Deep Learning in Healthcare Summit in London, 28 February – 1 March (KDnuggets Offer)

The summit will showcase the opportunities of advancing methods in deep learning and their impact across healthcare & medicine. Regular attending companies include: Toshiba Medical, Google DeepMind, Imperial College London, Accenture and GSK. With a line-up of expert speakers including: Pearse Keane, NIHR Clinician Scientist at Moorfields Eye Hospital (working with Google DeepMind) OladimejiFarri, Senior Research Scientist at Philips Research PolinaMamoshina, Research Scientist at Insilico Medicine Ali Parsa, CEO, Babylon Health Neil Lawrence, Professor, University of Sheffield View event schedule here Topics to be covered include: machine learning, personalised medicine, clinical patient care, pattern recognition, image retrieval, medicine, diagnostics and medtech. This event will also be held in Boston, USA on 25-26 May. View the US Edition here. To save 20% on all summits, use the discount code KDNUGGETS at checkout – this applies to all Super Early Bird, Early…
Original Post: Deep Learning in Healthcare Summit in London, 28 February – 1 March (KDnuggets Offer)

KDnuggets™ News 17:n01, Jan 11: 5 Machine Learning Projects You Can’t Overlook; Future of Deep Learning; Self-Driving Car Surprises

Features |  Tutorials |  Opinions |  News |  Courses |  Meetings |  Jobs |  Academic |  Publications |  Tweets |  Image of the week Features  Tutorials, Overviews Opinions  News  Courses, Education  Meetings Data Analytics Summit, March 9-10, Free Event – RSVP Predictive Analytics World for Manufacturing, Germany, Feb 2-3, Program highlights What Are Your Analytics Goals for 2017? Get a head start at TDWI Las Vegas, Feb 12-17 Deep Learning Summit in San Francisco, Jan 26-27 (KDnuggets Offer) 100+ Upcoming Meetings in Analytics, Big Data, Data Mining, Data Science: January and Beyond Supercharge Your Data Science Team with AnacondaCON Team Discount, till Jan 16 Global Predictive Analytics and Data Management Forum, Milan, February 2-3, 2017  Jobs  Academic  Publications  Top Tweets   Image of the week KDnuggets Cartoon: When Self-Driving Car + Machine Learning takes you too far …
Original Post: KDnuggets™ News 17:n01, Jan 11: 5 Machine Learning Projects You Can’t Overlook; Future of Deep Learning; Self-Driving Car Surprises

Google Brain Residency Program – 7 months in and looking ahead

Posted by Jeff Dean, Google Senior Fellow and Leslie Phillips, Google Brain Residency Program Manager“Beyond being incredibly instructive, the Google Brain Residency program has been a truly affirming experience. Working alongside people who truly love what they do–and are eager to help you develop your own passion–has vastly increased my confidence in my interests, my ability to explore them, and my plans for the near future.”-Akosua Busia, B.S. Mathematical and Computational Science, Stanford University ‘162016 Google Brain ResidentIn October 2015 we launched the Google Brain Residency, a 12-month program focused on jumpstarting a career for those interested in machine learning and deep learning research. This program is an opportunity to get hands on experience using the state-of-the-art infrastructure available at Google, and offers the chance to work alongside top researchers within the Google Brain team.Our first group of residents arrived…
Original Post: Google Brain Residency Program – 7 months in and looking ahead

Deep Learning Summit in San Francisco, Jan 26-27 (KDnuggets Offer)

Will 2017 be the year of artificial intelligence? The past 12 months have seen huge advancements in machine learning and deep learning from AlphaGo beating Go grandmaster Lee Sedol to Andrew Ng sharing Baidu’s stance on autonomous vehicles. 2017 will bring further progress in deep learning algorithms, as well as new applications in almost every industry, from autonomous vehicles to industrial automation to cancer diagnosis. It’s vital to keep on top of the trends and gain a deep understanding of this rapidly advancing technology. Discover advances in natural language processing, speech recognition, image retrieval, virtual assistants, and more from the world’s leading researchers and industry at the Deep Learning Summit and Virtual Assistant Summit in San Francisco, 26-27 January. KDnuggets subscribers get 20% off pass prices for all RE.WORK events. Use the discount code KDNUGGETS to book your place at an upcoming event now. RE.WORK DEEP LEARNING SUMMIT 26 – 27 January 2017, San FranciscoSpeakers…
Original Post: Deep Learning Summit in San Francisco, Jan 26-27 (KDnuggets Offer)