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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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TWIML Presents: NeurIPS 2020

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Thanks to our sponsor! I’d like to send a huge thank you to our friends at Qualcomm Technologies for their continued support of the podcast, and their sponsorship of this NeurIPS series! Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their…

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The TWIML AI Gift Guide!

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Running out of gift ideas and need a little inspiration? The TWIML team has you covered! We put together a Holiday Gift Guide featuring some of our favorite AI-enabled products. It’s probably no surprise if you listen to the podcast, but AI has found its way into a bunch of different areas. This is just…

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TWIML Presents: re:Invent 2020

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Thanks to our sponsor! Before we get into today’s episode, I want to send a huge thanks to our friends at Amazon Web Services for their support of the podcast and sponsorship of this year’s re:Invent series. AWS offers a vast array of machine learning services and supporting cloud infrastructure, putting machine learning in the…

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TWIML Presents: AI Platforms Vol. 3

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Thanks to our sponsor! Thanks to our friends at Pachyderm for sponsoring the show! At the end of the day, real-world machine learning is all about the data. You already know this, but manually cleaning and transforming data can be exhausting, inconsistent, and error-prone, and is not the path towards getting your models into production,…

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