Events  Deals  Jobs  NFT NYC 2024 
    Sign in  
 
 
With Emily Pitler (Research Scientist, Google AI), Neel Sundaresan (Dir., Microsoft Cloud), Esperanza Aguilera (ML Enggr, Kx), Soumith Chintala (Facebook AI Research), Amir Sadoughi (S/w Dev Enggr, Amazon AWS), Renaud Bourassa (S/w Enggr, Slack), Rishabh Mehrotra (Research Scientist, Spotify).
Fri, Mar 29, 2019 @ 08:00 AM   $350   Venue, 230 5th Ave
 
     
 
 
              

      
 
Sign up for our awesome New York
Tech Events weekly email newsletter.
   
EVENT DETAILS
SHARING LESSONS LEARNED IN MACHINE LEARNING BEST PRACTICES

MLconf is a single-day, single-track machine learning conference event designed to gather the community to discuss the recent research & application of Algorithms, Tools, & Platforms to solve the hard problems that exist within organizing & analyzing massive & noisy data sets. Our next conference will host talks on today's use of ML algorithms & techniques from companies such as Google AI, AWS, Facebook, Slack & more. Additional tracks will cover intriguing topics on applications of machine learning within medical applications & within data science for social good.

WHO SHOULD ATTEND?
Professionals across many industries & professions attend the MLconf machine learning conference to stay current on today's application of machine learning techniques & practices. Individuals with backgrounds in Data Science, Engineering, Software, Computer Vision, Research, Machine Learning, Technical Leadership, Co-Founders of Startups, Professors & Students attend to stay current with what techniques their peers are using to solve today's problems that exist in industry.

WHAT YOU'LL LEARN
MLconf is a single-day, single-track machine learning conference event designed to gather the community to discuss the recent research & application of Algorithms, Tools, & Platforms to solve the hard problems that exist within organizing & analyzing massive & noisy data sets. Our next conference will host talks on today's use of ML algorithms & techniques from companies such as Google AI, AWS, Facebook, Slack & more. Additional tracks will cover intriguing topics on applications of machine learning within medical applications & within data science for social good.
 
 
 
 
© 2024 GarysGuide      About    Feedback    Press    Terms