ML Monthly Meetup: Realtime ML and End-to-end ML Platform

Dec 13, 06:00PM PST(02:00AM GMT). Add to calendar: Google | Yahoo
  • Virtual | Silicon Valley AICamp
  • Free 29 Attendees

Welcome to our monthly ML meetup in Silicon Valley. You can join us in-person (food&drink, networking and lucky draw) or remotely (on zoom).

Agenda (PST):
* 6:00pm~6:30pm: Checkin and Food/drink (in-person)
* 6:30pm~8:00pm: Tech talks (in-person + virtually)
* 8:00pm~8:30pm: Lucky draw & Networking (in-person)

Tech Talk 1: Seven Reasons Why Realtime ML Is Here to Stay
Abstract: Machine Learning is being adopted and validated by an increasing number of industries, businesses, and projects. However, a significant portion of these use cases are offline and batch in nature. The transition to realtime predictions is a rapidly evolving and widespread trend right now. In this talk, we will look at some of the top reasons why machine learning is quickly transitioning to realtime.
Speaker: Nikhil Garg from Fennel

Tech Talk 2: The end-to-end ML platform at Meta
Abstract: Modern software systems and products increasingly rely on machine learning models to make data-driven decisions based on interactions with users, infrastructure and other systems. For broader adoption, this practice must (i) accommodate product engineers without ML backgrounds, (ii) support finegrain product-metric evaluation and (iii) optimize for product goals. To address shortcomings of prior platforms, we introduce general principles for and the architecture of an ML platform, Looper, with simple APIs for decision-making and feedback collection. Looper covers the end-to-end ML lifecycle from collecting training data and model training to deployment and inference, and extends support to personalization, causal evaluation with heterogenous treatment effects, and Bayesian tuning for product goals.
Speaker: Igor Markov, Research Scientist, AI platforms from Meta

Z-park Silicon Valley Innovation Center
4500 Great America Pkwy, Santa Clara, CA

Nikhil & Igor

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