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TWIMLcon Sponsor Series

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In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms.

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Solmaz Shahalizadeh Blog post from 1 to 100 models at Shopify

From 1 to 100+ ML Models in Four Years

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In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. Though she had much to share, one quote that stood out was, “If…

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Nishan Subedi, VP of Algorithms at Overstock.com.

Architectural Patterns in ML

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In our recent conversation with Nishan Subedi, VP of Algorithms at Overstock.com, he shared with us his approach to machine learning systems and organizational design. Applying architectural patterns to ML system design Nishan shared how the seminal book “Design Patterns: Elements of Reusable Object-Oriented Software” inspired him to look at system architecture as a set…

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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

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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 Machine Learning, at the Wikimedia Foundation. This is what told us: Learn everything you can about your organization, the customers it serves, and the critical…

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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

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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 from being an individual contributor to becoming a data science leader with over 350 global team members. During our conversation, Ya encouraged us to remember…

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TWIML Presents: AI & Innovation at Microsoft

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Thanks to our sponsor! Thanks to our friends at Microsoft for their continued support of the podcast and their sponsorship of this series! Microsoft’s mission is to empower every single person on the planet to achieve more. We’re excited to partner with them on this series of shows, in which we share experiences at the…

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headphones attached to books to signify knowledge

Podcast Series to Binge!

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We hope you’re taking some time to relax over the holidays and want to make sure you have plenty of content for when you’re in the mood for a technical binge!  December is always slammed with end-of-year events, and this year is no different. We’ve covered some of the month’s events and innovations in our…

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TWIML Presents: AI Rewind 2020

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Every year we take time to recap the most important developments in the various disciplines under the broad machine learning umbrella. Even amongst the uncertainty that 2020 brought, the ML community still managed to produce some great breakthroughs. In these conversations, we brought back some of our friends from the podcast to cover the latest…

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2020 numbers changing to 2021

2020 Reflections

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One of the silver linings to an otherwise crazy year was that I spent a lot of time at a desk that would have otherwise been spent in planes, trains, and automobiles. As a result, Team TWIML got quite a lot done this year! I thought I’d share a few of the accomplishments we’re most…

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webinar: Causality & Probabilistic Modeling in ML

Causality & Probabilistic Modeling in Machine Learning Webinar

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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 feedback from students: “I liked the workshop very much. Robert did a great job of reaching out to students to understand their background and interest…

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