Machine Learning For All - A.K.A. ML4ALL
What is ML4ALL?
ML4ALL stands for “Machine Learning for All“. Last year I had a great time working with Alena Hall, Troy Howard, Glenn Block, Byron Gerlach, and Ben Acker. ML4ALL is a conference we put together to bring togeher people interested in machine learning, the systems, the ecosystem around machine learning, and ways to get involved or more involved in this part of the technology industry. Our aim is to organize this conference, with an open invite to all people, to come and learn, show, and expand one's experiences with machine learning. I’m looking forward to our team, speakers, and guests and having another excellent, fun, and educational conference for the community again this year!
But I always say, don't just take my word for it, here's a set of interviews with guests and speakers last year that our Speaker Czar @lenadroid put together. This great video of the event and some short interviews with speakers and attendees. It’s a solid watch, take a few minutes and check it out for a good idea of what the conference will be like.
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Want to Attend? Excellent, But There's More for You!
Tickets are on sale, however there are a lot of ways to get involved. There's the super easy way to keep updated just follow the Twitter account: @ml4all. Another way is a little bit more involved, but can be a much higher return on investment for you, by joining the ML4ALL Slack Group! There we discuss conference updates, talk about machine learning, introduce ourselves, and a range of other discussions.
If you work for a company in the machine learning domain, plying the wave of artificial intelligence and related business, you may want to get involved by sponsoring the conference. We’ve got a prospectus we can send you for the varying levels, just send an email to firstname.lastname@example.org with the subject “Plz Prospectus”. We’ll send you the prospectus and we can start a conversation on which level works best for your company!
ML4ALL is a conference that will cover from beginner to advanced machine learning presentations, conversations, and community discussions. It’s a top conference choice to put on your schedule for April 28-30th, pick up tickets for, and submit a proposal to the CFP!
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