Technology
Hosted by Data Science In Production · Technology · EN
Data Science in Production is the Podcast designed to help Data Scientists and Machine Learning Engineers get their models in to production faster. We focus on the tool, techniques and people of machine learning.
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Contact path
Verified email
Booking probability
17%
Guest openness
Selective
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Signup to Generate a PitchData Science in Production is the Podcast designed to help Data Scientists and Machine Learning Engineers get their models in to production faster. We focus on the tool, techniques and people of machine learning.
Recent episodes include "The Global AI Bootcamp with Henk Boelman" (9 July 2019, 26 minutes), "Data Lakes for Data Science" (27 March 2019, 44 minutes), and "MLFlow with Matei Zaharia" (7 March 2019, 32 minutes).
Data Science In Production publishes roughly every two weeks, with episodes averaging 38 minutes across 6 episodes.
Booking probability for Data Science In Production is 17%, and the host is rated Selective on guests. Data Science In Production requires a Pod Score of 80 or higher. Data Science In Production's contact route on record: verified email.
The strongest fits for Data Science In Production are IT Services & Software Development. Data Science In Production has a technology audience.
Data Science In Production is a technology podcast with 6 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #6
<p>This Episode is recorded at the Intelligent Cloud Conference in Copenhagen. It features an interview with Henk Boelman Microsoft AI MVP and Cloud AI Architect for Heroes in the Netherlands. </p> <p>We discuss a lot...
Episode #5
<p>In this episode we explore what is a data lake, and how to build a lake which enables data science teams to deliver models faster. We need somewhere we can store and access data which is indexed, searchable and...
Episode #4
<p>I caught up with the creator of Apache Spark and Databricks founder Matei Zaharia at this year's Big Data London. We discussed the release of MLFlow, Databricks and project Dawn. </p>
<p>In this episode I talk about why you should have all your data science projects in version control / source control. I discuss why it is important, how to get started, the gotchas and how to version control data...
<p>In this episode, I am joined by #TimTem AKA Dr Tim Scarfe and Dr Tempest van Schaik. Tempest and Tim are Machine Learning Engineers for Microsoft. This podcasts focuses on a project they delivered for Confused.com...
Episode #1
<p>This episode of Data Science in Production, focuses on the problems in Data Science and the rise of the Machine Learning Engineer. </p>
Recent guests on Data Science In Production. Study who booked and why before you pitch.
Microsoft
Databricks
Microsoft
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