Learning from Machine Learning
Claim This Podcastby Seth Levine
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Podcast Overview
<p>A machine learning podcast that explores more than just algorithms and data: Life lessons from the experts. Welcome to "Learning from Machine Learning," a podcast about the insights gained from a career in the field of Machine Learning and Data Science. In each episode, industry experts, entrepreneurs and practitioners will share their experiences and advice on what it takes to succeed in this rapidly-evolving field.</p><p>But this podcast is not just about the technical aspects of ML. It will also delve into the ways machine learning is changing the world around us. From the implications of artificial intelligence to the ways machine learning is being applied in various sectors, a wide range of topics will be covered that are relevant to anyone interested in the intersection of technology and society.</p><p></p><p>All interviews available on <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/@learningfrommachinelearning">YouTube: Learning from Machine Learning </a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://mindfulmachines.substack.com/">Substack: Mindful Machines</a></p>
Language
🇺🇲
Publishing Since
1/9/2023
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Recent Episodes
October 17, 2025
Dan Bricklin: Lessons from Building the First Killer App | Learning from Machine Learning #14
Host [Host Name] interviews Dan Bricklin, co-creator of VisiCalc, as they discuss how breakthrough innovations must be 100 times better and what five decades of platform shifts teach us about today's AI moment.
July 1, 2025
Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning #13
Lukas Biewald, Weights & Biases CEO, discusses his journey through the AI landscape, from early programming to leading a vital AI tool company, emphasizing conviction over consensus in this interview.
May 28, 2025
Maxime Labonne: Designing beyond Transformers | Learning from Machine Learning #12
Maxime Labonne, Head of Post-Training at Liquid AI, discusses his journey into AI and how focusing on model efficiency and data quality shapes the future of machine learning in this interview.
14 total episodes available with 5 transcripts
Recent guests on Learning from Machine Learning
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Dan Bricklin
Guest
Lukas Biewald
Guest
Maxime Labonne
Guest
Aman Khan
Guest
Leland McInnes
Guest
Chris Van Pelt
Guest
Dr Michelle Gill
Guest
Ines Montani
Guest
Lewis Tunstall
Guest
Paige Bailey
Guest
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Frequently asked questions
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- What is Learning from Machine Learning?
<p>A machine learning podcast that explores more than just algorithms and data: Life lessons from the experts. Welcome to "Learning from Machine Learning," a podcast about the insights gained from a career in the field of Machine Learning and Data Science. In each episode, industry experts, entrepreneurs and practitioners will share their experiences and advice on what it takes to succeed in this rapidly-evolving field.</p><p>But this podcast is not just about the technical aspects of ML. It will also delve into the ways machine learning is changing the world around us. From the implications of artificial intelligence to the ways machine learning is being applied in various sectors, a wide range of topics will be covered that are relevant to anyone interested in the intersection of technology and society.</p><p></p><p>All interviews available on <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/@learningfrommachinelearning">YouTube: Learning from Machine Learning </a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://mindfulmachines.substack.com/">Substack: Mindful Machines</a></p> - How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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