Posts Tagged :

gojek

Building Agility and Velocity In Machine Learning From The Ground Up with Chris Albon, Director of Machine Learning, Wikimedia
Building Agility and Velocity In Machine Learning From The Ground Up
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

How do you build a machine learning platform for one of the world’s largest websites from the ground up? This is the question we posed to Chris Albon, Director of…

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Key Factors When Building A Global Data Science Team: Insights from Our Interview with Ya Xu, Head of Data Science at LinkedIn
Key Factors When Building a Global Data Science Team
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

What are the most important factors to consider when building a global data science team? Ya Xu, Head of Data Science at LinkedIn, recently shared at TWIMLcon how she went…

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webinar: Causality & Probabilistic Modeling in ML
Causality & Probabilistic Modeling in Machine Learning Webinar
1024 1024 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Causality and probabilistic modeling are some of the hottest topics in machine learning. In early 2020 we launched a new causality workshop with instructor Robert Osazuwa Ness, which received great…

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Feature Stores for Accelerating AI Development
800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this special episode of the podcast, we’re joined by Kevin Stumpf of Tecton, Willem Pienaar of Gojek, and Maxime Beauchemin of Preset for a discussion on Feature Stores for…

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Tecton Webinar Image
Webinar: Feature Stores for Accelerating AI Development
1024 1024 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
We’ll be hosting a webinar with Tecton on Tuesday, November 17th, focused on feature stores for MLOps and open source. Join us for this unique opportunity to get hands-on experience with the creators of Tecton's data platform and learn how you can leverage their tool to build a library of great features and serve them in Machine Learning Systems at scale.read more