web01.fireside.fm Fri, 03 Apr 2026 12:48:13 -0500 Fireside (https://fireside.fm) Pipeline Conversations - Episodes Tagged with β€œDeep Learning” https://podcast.zenml.io/tags/deep-learning Wed, 12 Oct 2022 07:30:00 +0200 Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. en-us episodic MLOps and LLMOps, from the trenches ZenML GmbH Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. no machine-learning, machinelearning, mlops, deeplearning, ai, artificialintelligence, artificial-intelligence, technology, tech, mlops, llmops ZenML GmbH podcast@zenml.io The Full Stack with Charles Frye https://podcast.zenml.io/full-stack-charles-frye 4e698579-cdee-4f8f-ba34-4bca304129c2 Wed, 12 Oct 2022 07:30:00 +0200 ZenML GmbH full 2 ZenML GmbH This week I spoke with Charles Frye. Not only has Charles volunteered to be a judge on our Month of MLOps competition happening right now, he's part of the core team working on the Full Stack Deep Learning course. 57:05 no This week I spoke with Charles Frye. Not only has Charles volunteered to be a judge on our Month of MLOps competition happening right now, he's part of the core team working on the Full Stack Deep Learning course. Naturally, we get into education for practitioners as well as the things that Charles has seen in his own prior background working on production use cases. We also discuss the ways that tooling to support education as well as productive machine learning can and is being improved. Special Guest: Charles Frye. mlops, machine-learning, data-science, ai, artificial-intelligence, education, deep-learning This week I spoke with Charles Frye. Not only has Charles volunteered to be a judge on our Month of MLOps competition happening right now, he's part of the core team working on the Full Stack Deep Learning course.

Naturally, we get into education for practitioners as well as the things that Charles has seen in his own prior background working on production use cases. We also discuss the ways that tooling to support education as well as productive machine learning can and is being improved.

Special Guest: Charles Frye.

Links:

]]> This week I spoke with Charles Frye. Not only has Charles volunteered to be a judge on our Month of MLOps competition happening right now, he's part of the core team working on the Full Stack Deep Learning course.

Naturally, we get into education for practitioners as well as the things that Charles has seen in his own prior background working on production use cases. We also discuss the ways that tooling to support education as well as productive machine learning can and is being improved.

Special Guest: Charles Frye.

Links:

]]> Satellite Vision with Robin Cole https://podcast.zenml.io/satellite-vision-robin-cole bc28e259-b867-43c8-96c4-24d355b78903 Thu, 28 Jul 2022 09:00:00 +0200 ZenML GmbH full 2 ZenML GmbH This week I spoke with Robin Cole, a senior data scientist at Satellite Vu, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above. 47:56 no This week I spoke with Robin Cole, a senior data scientist at Satellite Vu (https://www.satellitevu.com), a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above. Robin generously took the time to discuss his day to day work involving satellite data, the stack they work with at Satellite Vu as well as some of the difficulties that come up in the domain. We also discuss the extremely popular satellite-image-deep-learning GitHub repo (https://github.com/robmarkcole/satellite-image-deep-learning) that presents resources for those working with or seeking to learn about this kind of data. Special Guest: Robin Cole. satellite, computer-vision, deep-learning, serverless, mlops, data-science This week I spoke with Robin Cole, a senior data scientist at Satellite Vu, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above.

Robin generously took the time to discuss his day to day work involving satellite data, the stack they work with at Satellite Vu as well as some of the difficulties that come up in the domain. We also discuss the extremely popular satellite-image-deep-learning GitHub repo that presents resources for those working with or seeking to learn about this kind of data.

Special Guest: Robin Cole.

Links:

]]> This week I spoke with Robin Cole, a senior data scientist at Satellite Vu, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above.

Robin generously took the time to discuss his day to day work involving satellite data, the stack they work with at Satellite Vu as well as some of the difficulties that come up in the domain. We also discuss the extremely popular satellite-image-deep-learning GitHub repo that presents resources for those working with or seeking to learn about this kind of data.

Special Guest: Robin Cole.

Links:

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