Spatiotemporal Data Analysis with Rose Yu - #508

Spatiotemporal Data Analysis with Rose Yu - #508

Today we’re joined by Rose Yu, an assistant professor at the Jacobs School of Engineering at UC San Diego. Rose’s research focuses on advancing machine learning algorithms and methods for analyzing large-scale time-series and spatial-temporal data, then applying those developments to climate, transportation, and other physical sciences. We discuss how Rose incorporates physical knowledge and partial differential equations in these use cases and how symmetries are being exploited. We also explore their novel neural network design that is focused on non-traditional convolution operators and allows for general symmetry, how we get from these representations to the network architectures that she has developed and another recent paper on deep spatio-temporal models. The complete show note for this episode can be found at twimlai.com/go/508.

Jaksot(782)

ML Feature Store at Intuit with Srivathsan Canchi - #438

ML Feature Store at Intuit with Srivathsan Canchi - #438

Today we continue our re:Invent series with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit.  As we teased earlier this week, one of the major announcements co...

16 Joulu 202041min

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

re:Invent Roundup 2020 with Swami Sivasubramanian - #437

Today we’re kicking off our annual re:invent series joined by Swami Sivasubramanian, VP of Artificial Intelligence, at AWS. During re:Invent last week, Amazon made a ton of announcements on the machi...

14 Joulu 202048min

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436

Today we’re joined by Subarna Sinha, Machine Learning Engineering Leader at 23andMe. 23andMe handles a massive amount of genomic data every year from its core ancestry business but also uses that dat...

11 Joulu 202039min

Scaling Video AI at RTL with Daan Odijk - #435

Scaling Video AI at RTL with Daan Odijk - #435

Today we’re joined by Daan Odijk, Data Science Manager at RTL. In our conversation with Daan, we explore the RTL MLOps journey, and their need to put platform infrastructure in place for ad optimizat...

9 Joulu 202040min

Benchmarking ML with MLCommons w/ Peter Mattson - #434

Benchmarking ML with MLCommons w/ Peter Mattson - #434

Today we’re joined by Peter Mattson, General Chair at MLPerf, a Staff Engineer at Google, and President of MLCommons.  In our conversation with Peter, we discuss MLCommons and MLPerf, the former an o...

7 Joulu 202046min

Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433

Today we’re joined by Charlene Chambliss, Machine Learning Engineer at Primer AI.  Charlene, who we also had the pleasure of hosting at NLP Office Hours during TWIMLfest, is back to share some of the...

3 Joulu 202045min

Feature Stores for Accelerating AI Development - #432

Feature Stores for Accelerating AI Development - #432

In this special episode of the podcast, we're joined by Kevin Stumpf, Co-Founder and CTO of Tecton, Willem Pienaar, an engineering lead at Gojek and founder of the Feast Project, and Maxime Beauchemin...

30 Marras 202056min

An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431

In this special edition of the podcast, we're joined by Shalini Kantayya, the director of Coded Bias, and Deb Raji and Meredith Broussard, who both contributed to the film. In this panel discussion, ...

27 Marras 20201h 24min

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