[unable to retrieve full-text content]What is automated machine learning (AutoML)? Why do we need it? What are some of the AutoML tools that are available? What does its future hold? Read this article for answers to these and other AutoML questions.
Original Post: The Current State of Automated Machine Learning
[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
[unable to retrieve full-text content]We examine the sweet spot for data-driven Machine Learning companies, where is not too easy and not too hard to collect the needed data.
Original Post: More Data or Better Algorithms: The Sweet Spot
[unable to retrieve full-text content]The Modern Data Science Academy provides state-of-the-art workshops taught by San Diego Supercomputer Center experts. Coming workshops on Machine Learning (Feb 8-9) and NoSQL Databases (Mar 1-2).
Original Post: Discover the new Modern Data Science Academy
[unable to retrieve full-text content]Stay up-to-date in the data science with active blogs. This is a list of 90 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence (newly checked at 01-2017).
Original Post: 90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning (updated)
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
By Jean-Francois Puget, IBM. What programming language should one learn to get a machine learning or data science job? That’s the silver bullet question. It is debated in many forums. I could provide here my own answer to it and explain why, but I’d rather look at some data first. After all, this is what machine learners and data scientists should do: look at data, not opinions. So, let’s look at some data. I will use the trend search available on indeed.com. It looks for occurrences over time of selected terms in job offers. It gives an indication of what skills employers are seeking. Note however that it is not a poll on which skills are effectively in use. It is rather an advanced indicator of how skill popularity evolve (more formally, it is probably close to the first order…
Original Post: The Most Popular Language For Machine Learning and Data Science Is …
/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
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)
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