Pipeline Conversations
A Machine Learning Podcast by ZenML
Displaying Episode 11 - 14 of 14 in total of Pipeline Conversations with the tag “data-science”.
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Practical Production ML with Emmanuel Ameisen
March 17th, 2022 | 58 mins
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops
This week I spoke with Emmanuel Ameisen, a data scientist and ML engineer currently based at Stripe. Emmanuel also wrote an excellent O'Reilly book called "Building Machine Learning Powered Applications", a book I find myself often returning to for inspiration and that I was pleased to get the chance to reread in preparation for our discussion.
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The Modern Data Stack with Tristan Zajonc
February 10th, 2022 | 59 mins 4 secs
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops
This week I spoke with Tristan Zajonc, the CEO and cofounder of Continual, a company that provides an AI layer for enterprise companies or, as we'll get into in the podcast, the so-called 'modern data stack'.
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Neurosymbolic AI with Mohan Mahadevan
January 27th, 2022 | 58 mins 55 secs
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops
Our guest this week was Mohan Mahadevan, a senior VP at Onfido, a machine-learning powered identity verification platform. He has previously worked at Amazon heading up a computer vision team working on robotics applications as well as for many years at KLA, a leading semiconductor hardware company. He holds a doctorate in theoretical physics from Colorado State University.
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Creating Tools that Spark Joy with Ines Montani
January 13th, 2022 | 43 mins 46 secs
data-science, machine-learning, nlp, open-source
Our guest this week is Ines Montani, co-founder and CEO of Explosion, a company based out of Berlin that produce tools that you probably know and love like Spacy, a Python Natural Language Processing library and Prodigy, a data annotation tool.