Episode 6: The Global AI Bootcamp with Henk Boelman
Data Science In Production
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.
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Episode 5: Data Lakes for Data Science
Data Science In Production
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 always available. A good data lake will do this and more. Listen to find out how you can build a data lake to accelerate your teams machine learning.
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Episode 4: MLFlow with Matei Zaharia
Data Science In Production
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.
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Episode 3: Version control for Data Science
Data Science In Production
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 science projects.
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Episode 2: Deploying Deep Learning models with TimTem
Data Science In Production
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.
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Episode 1: Setting the scene
Data Science In Production
This episode of Data Science in Production, focuses on the problems in Data Science and the rise of the Machine Learning Engineer.
info_outlineIn 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 always available. A good data lake will do this and more. Listen to find out how you can build a data lake to accelerate your teams machine learning.