
Episode 3: Version control for Data Science
12/20/18 • 41 min
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.
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
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.
We discuss deploying Deep learning models in to production, NeurlIPS conference, model management, Devops and much more.
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Episode 4: MLFlow with Matei Zaharia
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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