Machine Learning is changing the way businesses operate today, the same way that databases changed the corporate world more than 30 years ago. There are currently many prestigious conferences in the space, including: KDD, NIPS and ICML that cover recent inventions in machine learning. Although information is readily available, time constraints prohibit busy data scientists from staying current with the various advances in ML. Even if somebody manages to attend all the sessions or go through all the proceedings, it is impossible to implement and discover the algorithms and business processes that really work and fit your needs.
This is the gap that MLconf is here to bridge. MLconf speakers come from top machine learning companies and share their experience from use cases and distilled knowledge of solutions to real machine learning problems. MLconf talks cover useful information such as: how Google is mining time series, how Yahoo is mining infinite streams of email data, which algorithms Twitter and Netflix are using for recommendations, or what type of data advertisers find useful for targeting. Apart from big established companies, MLconf hosts smaller startups that innovate in the ML space, attacking non-traditional high tech domains, like law and energy or developing new machine learning platforms and tools that are in great demand. At last, every MLconf always includes pioneers from research labs and universities that present the future of Machine Learning.
Although it is possible to fathom the the ML trends by reading blogs, articles or watching videos on the web from the MLconf speaker roster, attending MLconf offers you the opportunity to network with the speakers and a crowd of 300+ data scientists, business executives, engineers and grad students that deal with machine learning in their everyday life. All of that happening in a nice environment, with plenty of coffee, food, and about 70 titles of machine learning books to browse.
So, whether you are a busy professional or a student who wants to find out about Today’s adventures in applied Machine Learning, it is worth investing a day for broadening your horizons in ML by attending MLconf in the city near you. Register now for MLconf SF, which is this Friday, 11/14/14. Mention KDDNuggets and save 15% on tickets!
by Past Technical Committee Chair
The students are coming!
The University of San Francisco is sending 35 of their MS in Analytics students to MLconf in San Francisco on 11/14/14! This is great news! We’re honored that MLconf is considered an educational conference for students and professionals.
MLconf was created to host the thought leaders in Machine Learning and Data Science to discuss their most recent experience with applying techniques, tools, algorithms and methodologies to the seemingly impossible problems that occur when dealing with massive and noisy data. MLconf is independent of any outside company or university – it’s simply a conference organized to gather the Machine Learning communities in various cities to share knowledge and create an environment for the community to coalesce.
We couldn’t do it without our sponsors! We’re so grateful to the companies that sponsor MLconf – thanks to their contributions, we’re able to offer low priced tickets to the general public and students and encourage the sharing of knowledge for all whom seek it. Benjamin Franklin said “An investment in knowledge always pays the best interest.” We couldn’t agree more!
We’re looking forward to seeing you all at Parc 55 on November 14th! Haven’t registered? Register Now and save, Early Bird Tickets are still available!
Call for Speakers for MLconf SF!
We’re just starting to plan for MLconf SF this November. If you’re interested in presenting, please complete our form here. Abstracts should be 75-100 words in length. Please reference abstracts and slides from previous MLconf events. We look forward to seeing you in November!
MLconf NYC is coming
We’re taking MLconf to NYC! I’m so excited to announce that we’re having our first conference in New York City this Spring!! I’ve been working with one of my trusted advisors to plan MLconf NYC. This event wouldn’t be possible without the help from Nik and my NYC based eyes and ears: Michael Moss. We have a great list of speakers and impressive companies in the Machine Learning space becoming involved.
We’re implementing some of the feedback that came from our last MLconf. You asked for an East-Coast based event- here goes!! You asked for more female speakers- we listened! See the great list of speakers here. We are excited to see Corinna Cortes, Head of Research at Google, present on the largest known ML deployment. Samantha Kleinberg will present her work with how she derives inference from uncertain data related to Diabetes and how that interacts with Google Glass. Irene Lang and Anqi Fu will present on the H20 tool and their “R” interface.
Edo Liberty, Senior Research Scientist at Yahoo, will present on social network graph algorithms, and how Yahoo overcomes obstacles with A/B testing. Josh Wills, Dir of Data Science at Cloudera, will present on his recent experience with Building Production Machine Learning Infrastructure. If you guys haven’t seen Josh present yet- you must. Josh is a great presenter! There are other interesting presenters on the agenda- don’t miss out! The agenda is packed with interesting presentations and we’ll also host demos and an expo from companies in the space. We couldn’t host these events without the help of our sponsors. We expect to have a presence from Databricks- the folks behind Spark in the expo. Our friends from GraphLab will also be at the event. We’ll have Tapad, 0xdata, and HiringSolved in the space. More companies to be announced soon! See you on 4/11!
MLconf T-Shirt Slogan Challenge
Hey all! We’d like to invite you to participate in influencing the 2014 MLconf event shirts! We need a cheeky one-liner to add to the shirt. If your slogan wins, we’ll give you 10 free shirts, a free ticket to MLconf NYC on 4/11/14 and recognize your contribution on our sites and make announcements at the event. #geekstreetcred!!
Just complete this short form.
Thanks and Good Luck!!
MLconf 2013 recap
MLconf 2013, was on 11/15/13 in San Francisco. See the event page for full details and pictures.
Advisors/Event Committee:
- Danny Bickson, Co-Founder at GraphLab
- Ted Dunning, Chief Application Architect at Map R
- Nikolaos Vasiloglou, Data Science at LogicBox
- Abhijit Bose, VP Data Science at American Express
- Eric Bieschke, Chief Scientist and VP of Playlists at Pandora
- Ashfaq Munshi, Knobout Inc.
- Josh Wills, Directof Data Science at Cloudera
Speakers:
- Xavier Amatriain, Research/Engineering Director, Netflix
- Ted Willke, Principal Engineer & General Manager, Graph Analytics Operation at Intel
- Jake Mannix, Applied Machine Learning Engineer, Twitter
- Joseph Gonzalez, Co-Founder at GraphLab
- Scott Triglia, Search and Data Mining Engineer at Yelp
- Josh Patterson, VP Services, Continuuity
- Lukas Biewald, CEO Crowdflower
- Quoc Le, Software Engineer at Google, PhD Stanford
- Eric Battenberg, Audio DSP Engineer, Gracenote
- Eric Bieschke, Chief Scientist and VP of Playlists, Pandora
- Abhijit Bose, VP Data Science, American Express
- Ameet Talwalkar, Postdoctoral Fellow at UC Berkeley
- Matei Zaharia, CTO Databricks
- Michael Mahoney, Research Scientist at Stanford University
Topics covered: Deep Learning, Matrix Factorization, Collaborative Filtering and Recommender Systems.
Please see the event page for full details, pictures and links to videos and lecture slides.
Sponsors include:
Platinum Sponsor: Intel
Gold Sponsors: GraphLab, HiringSolved, Adobe
Bronze Sponsors: Oxdata
Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.
See all the full speaker list »