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Artwork for Learning from Machine Learning

Learning from Machine Learning

Seth Levine
Machine Learning
Data Quality
Artificial Intelligence
Weights & Biases
AI Evaluation
AI Model Deployment
UMAP
HDBSCAN
Data Science
Cybersecurity
Transformers
Post-Training
Dimensionality Reduction
Unsupervised Learning
Self-Driving Cars
Llms
Ai-Assisted Drug Discovery
Protein Structure Prediction
Alphafold
Bionemo

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 rap... more

PublishesMonthlyEpisodes13Founded3 years ago
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TechnologySociety & Culture

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Artwork for Learning from Machine Learning

Latest Episodes

On this episode of Learning from Machine Learning, I had the privilege of speaking with Lukas Biewald, co-founder and CEO of Weights & Biases. We traced his journey from programming games as a kid to building one of the most essential tools in AI dev... more

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On this episode of Learning from Machine Learning, I had the privilege of speaking with Maxime Labonne, Head of Post-Training at Liquid AI. We traced his journey from cybersecurity to the cutting edge of model architecture. Maxime shared how the futu... more

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On this episode of Learning from Machine Learning, I had the privilege of speaking with Aman Khan, Head of Product at Arize AI. Aman shared how evaluating AI systems isn't just a step in the process—it's a machine learning challenge in of itself. Dra... more

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In this episode of Learning from Machine Learning, we explore the intersection of pure mathematics and modern data science with Leland McInnes, the mind behind an ecosystem of tools for unsupervised learning including UMAP, HDBSCAN, PyNN Descent and ... more

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Recent Guests

Leland McInnes
Researcher and mathematician at the Tutte Institute for Mathematics and Computing, maintainer of UMAP and HDBSCAN libraries.
Tutte Institute for Mathematics and Computing
Episode: Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10
Chris Van Pelt
Co-founder of Weights & Biases, CrowdFlower and Figure Eight, dedicated to optimizing ML workflows and teaching ML practitioners.
Weights & Biases
Episode: Chris Van Pelt: Machine Learning Tooling, Weights and Biases, Entrepreneurship | Learning from Machine Learning #9
Dr. Michelle Gill
Tech lead and applied research manager at Nvidia
Nvidia
Episode: Michelle Gill: AI-Assisted Drug Discovery, NVIDIA, Biofoundation Models, Creating Applied Research Teams | Learning from Machine Learning #8

Reviews

5.0 out of 5 stars from 16 ratings
  • Amazing and informative

    I thoroughly enjoyed listening to this podcast. It was interesting and informative! Keep it up!

    Apple Podcasts
    5
    Jaclyn916
    United States3 years ago
  • Great listen!

    Look forward to more episodes, great questions and convo

    Apple Podcasts
    5
    OH.!
    United States3 years ago
  • Great podcast!

    Seth Levine is a budding star! The podcast is extremely captivating and I’m looking forward to future episodes!

    Apple Podcasts
    5
    OriK2727
    United States3 years ago

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#149
Saudi Arabia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Aman Khan: Arize, Evaluating AI, Designing for Non-Determinism | Learning from Machine Learning #11
Q: What initially attracted you to machine learning?
Aman shares that he graduated as an engineer and worked initially as a test engineer in a self-driving car company where he became interested in data science and machine learning through his curiosity about automating processes and understanding data at scale.
Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10
Q: What is a career in research taught you about life?
Research has taught him about his own limitations in knowledge and the importance of patience in finding solutions to problems, often needing time away from the problem to allow subconscious processing to occur.
Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10
Q: What advice would you give to someone that's just starting out in the field of either research, data science, machine learning?
Leland advises newcomers to not follow the hype and instead pursue what genuinely interests them, as working in less crowded areas can lead to significant contributions.
Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10
Q: How do you think that pure math theoretical background influenced your approach to problems in data science and machine learning?
Leland believes that having a background in topology and algebra gives him a unique perspective on exploring data through its geometry, which informs his approach to machine learning problems.
Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10
Q: What initially attracted you to the world of mathematics, computing, and research?
Growing up in a mathematical environment due to his father's influence, Leland initially pursued mathematics and physics in university, ultimately choosing mathematics and further exploring data science later.

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2. Super Data Science: ML & AI Podcast with Jon Krohn

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Learning from Machine Learning launched 3 years ago and published 13 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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Recent guests on Learning from Machine Learning include:

1. Leland McInnes
2. Chris Van Pelt
3. Dr. Michelle Gill

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