From ML research to ML products:
A path towards building models for real-world impact
ICML-2021
Mon Jul 19 11:00 AM -- 02:15 PM (EDT)
Scientists in the field of machine learning (ML) – including deep learning (DL) -- aspire to build better models (usually judged by beating SOTA in well-defined tasks and datasets); successful applications of such models, on the other hand, are about product-market fit (PMF) in environments with ever-growing complexities. As many expect ML to play a bigger role in our society, ML scientists’ ability to influence this journey will depend on putting ML research in a PMF context and vice versa (i.e., optimizing for market.fit()+⍺*model.fit(), instead of optimizing for model.fit() alone). Therefore, in this tutorial we aim to cover the general principals of building AI products in the “real world”, covering topics such as product design/management, achieving product-market fit, and ML R&D in this context.
Session 2
(30 mins)
Session 3
(15 mins)
Session 4
(30 mins)
Session 5
(45 mins)
Q&A
(30 mins)
Schedule
Session 1 (15 mins): Overview of tutorial and the core idea (R. Khorshidi)
Session 2 (30 mins): Product Market Fit (R. Khorshidi)
Break (15 mins)
Session 3 (15 mins): Build Measure Learn (R. Khorshidi)
Session 4 (30 mins): Experiments and Metrics (R. Khorshidi)
Break (15 mins)
Session 5 (45 mins): Examples (P. Faratin)
Q&A (30 mins)
Speakers
Reza Khorsidi, D.Phil. (Oxon)
Reza is currently the chief scientist at AIG, and a PI (in ML and Biomedicine) at The University of Oxford's Deep Medicine program.
His current research at Oxford is focused on probabilistic machine learning, and neural sequence models, for biomedical informatics, population health, and precision medicine; more specifically, he is interested in using ML for the development of personalised health predictions/recommendations, plus achieving an improved understanding of multimorbidity.
Reza’s team at AIG (i.e., Investments AI) is a group of scientists, engineers, and product designers/managers, focused on the development of AI-first products in the FinTech space.
Peyman Faratin (PhD)
Peyman is currently founder of RobustLinks and Advisor/Investor in Parameter Ventures.