14 episodes

A podcast about bringing machine learning into the real world. Each episode features a conversation with top data science and machine learning practitioners, who'll share their thoughts, best practices, and tips for promoting machine learning to production

The MLOps Podcast DagsHub

    • Technology

A podcast about bringing machine learning into the real world. Each episode features a conversation with top data science and machine learning practitioners, who'll share their thoughts, best practices, and tips for promoting machine learning to production

    🔴🟢🟣Julia Language in Production with Logan Kilpatrick

    🔴🟢🟣Julia Language in Production with Logan Kilpatrick

    In this episode, I speak with Logan Kilpatrick, Julia Language Developer Community Advocate. We talk about machine learning at NASA and how he discovered Julia as a student, the age-old Julia vs. Python debate, and how to get into a new scientific and technical field.  It was absolutely awesome! Check it out.  



    Watch the video: https://www.youtube.com/watch?v=3kgRN8hJIro



    Join our Discord community: https://discord.gg/tEYvqxwhah



    Relevant Links:  

    ➡️ Logan Kilpatrick on LinkedIn – https://www.linkedin.com/in/logankilpatrick/

    ➡️ Logan Kilpatrick on Twitter – https://twitter.com/OfficialLoganK

    ➡️ Julia Language on Twitter – https://twitter.com/JuliaLanguage 



    Recommendation Links: 

    📚 Three-Body Problem Series: https://www.amazon.com/Three-Body-Problem-Cixin-Liu/dp/0765382032

    📹 13 Lives on IMDB: https://www.imdb.com/title/tt12262116/   



    🌐 Check Out Our Website! https://dagshub.com   



    Social Links:  

    ➡️ LinkedIn: https://www.linkedin.com/company/dagshub  

    ➡️ Twitter: https://twitter.com/TheRealDAGsHub  

    ➡️ Dean Pleban: https://twitter.com/DeanPlbn

    • 1 hr 1 min
    🛠 Building tools for MLOps with Guy Smoilovsky

    🛠 Building tools for MLOps with Guy Smoilovsky

    In this episode, I speak with Guy Smoilovsky, my friend, Co-Founder, and the CTO of DagsHub. We talk about quantum computing and AGI, concrete approaches for automating ML deployment, and how DagsHub came to be.  



    Watch the video: https://www.youtube.com/watch?v=67dByhXPT5g



    Join our Discord community: https://discord.gg/tEYvqxwhah 



    Relevant Links:  

    ➡️ Guy Smoilovsky on LinkedIn – https://www.linkedin.com/in/guy-smoilovsky/

    ➡️ Guy Smoilovsky on Twitter – https://twitter.com/Guy_T_Sky/

    TDD in machine learning – https://towardsdatascience.com/tdd-datascience-689c98492fcc 



    Recommendation Links: 

    Astral Codex Ten – https://astralcodexten.substack.com/

    Don't Worry About the Vase – https://thezvi.wordpress.com/

    The Sandman – https://www.imdb.com/title/tt1751634/

    Lady Silver – https://www.ladysilverband.com/ 



    🌐 Check Out Our Website! https://dagshub.com   



    Social Links:  

    ➡️ LinkedIn: https://www.linkedin.com/company/dagshub 

    ➡️ Twitter: https://twitter.com/TheRealDAGsHub  

    ➡️ Dean Pleban: https://twitter.com/DeanPlbn

    • 1 hr 20 min
    📈 You Have Too Much Data with Dean Langsam

    📈 You Have Too Much Data with Dean Langsam

    In this episode, I speak with Dean Langsam, Data Scientist at SentinelOne and one of the organizers of PyData in Israel. We chat about imposter syndrome, the best field in machine learning, why XGBoost is the best model, and the fact that most organizations have too much data.  It was fascinating for me, so I hope you enjoy it too.  



    🎬 Watch the video: https://www.youtube.com/watch?v=Akz_PpDdLlQ

    Join our Discord community: https://discord.gg/tEYvqxwhah



    Relevant Links: 

    ⭐️ Join PyData Tel Aviv: https://pydata.org/telaviv2022/ ⭐️

    ➡️ Dean Langsam on LinkedIn – https://www.linkedin.com/in/deanla/

    ➡️ Dean Langsam on Twitter – https://twitter.com/dean_la 



    Recommendation Links:  

    🌐 Check Out Our Website! https://dagshub.com   



    Social Links:  

    ➡️ LinkedIn: https://www.linkedin.com/company/dagshub  

    ➡️ Twitter: https://twitter.com/TheRealDAGsHub  

    ➡️ Dean Pleban: https://twitter.com/DeanPlbn

    • 1 hr 11 min
    🏗 Reasonable Scale MLOps with Jacopo Tagliabue

    🏗 Reasonable Scale MLOps with Jacopo Tagliabue

    In this episode, I had the pleasure of speaking with Jacopo Tagliabue, Director of AI at Coveo. We talk about Reasonable Scale MLOps, how to approach building your ML platform, and how quickly you might hit the limits of model deployment (hint: it's pretty surprising)



    Join our Discord community: https://discord.gg/tEYvqxwhah



    Relevant Links:

    ➡️ Jacopo on LinkedIn – https://www.linkedin.com/in/jacopotagliabue/

    ➡️ Jacopo on Twitter – https://twitter.com/jacopotagliabue



    Recommendation Links:

    📺The Boys – https://www.imdb.com/title/tt1190634/

    📚Gödel, Escher, Bach – https://www.goodreads.com/book/show/24113.G_del_Escher_Bach

    📚The Three-Body Problem – https://www.goodreads.com/book/show/20518872-the-three-body-problem



    🌐 Check Out Our Website! https://dagshub.com



    Social Links:

    ➡️ LinkedIn: https://www.linkedin.com/company/dagshub

    ➡️ Twitter: https://twitter.com/TheRealDAGsHub

    ➡️ Dean Pleban: https://twitter.com/DeanPlbn

    • 1 hr 20 min
    🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas

    🦾 Made With ML - Learning How to Apply MLOps with Goku Mohandas

    In this episode, I had the pleasure of speaking with Goku Mohandas, founder of Made With ML. Goku has an incredible amount of experience building and teaching the community about machine learning and MLOps systems. We dive into system thinking and solving for ML workflows, his journey in the machine learning world, and how he chooses what to learn next. We discuss the most common mistakes he's seen in productionizing ML models and why building models no one will use is not necessarily bad.  



    Join our Discord community: https://discord.gg/tEYvqxwhah



    Relevant Links:  

    🤩 Check out Made With ML and thank us later – https://madewithml.com/

    ➡️ Goku on LinkedIn – https://www.linkedin.com/in/goku/

    ➡️ Goku on Twitter – https://twitter.com/gokumohandas 



    🌐 Check Out Our Website! https://dagshub.com   



    Social Links:  

    ➡️ LinkedIn: https://www.linkedin.com/company/dagshub  

    ➡️ Twitter: https://twitter.com/TheRealDAGsHub  

    ➡️ Dean Pleban: https://twitter.com/DeanPlbn

    • 1 hr 28 min
    🤹‍♀️ Building models that actually perform with Kyle Gallatin

    🤹‍♀️ Building models that actually perform with Kyle Gallatin

    In this episode, I had the pleasure of speaking with Kyle Gallatin, a Machine Learning Software Engineer at Etsy. We talk about how he built the machine learning platform at Etsy, experimentation in production (yes, you heard right), and how to optimize model performance at very large scales.  It was awesome, and I'm sure many of you can learn a ton from this one!  

    Join our Discord community: https://discord.gg/tEYvqxwhah

    Relevant Links:  
    ➡️ Kyle on LinkedIn – https://www.linkedin.com/in/kylegallatin/ 

    🌐Check Out Our Website! https://dagshub.com   

    Social Links:  
    LinkedIn: https://www.linkedin.com/company/dagshub  
    Twitter: https://twitter.com/TheRealDAGsHub  
    Dean Pleban: https://twitter.com/DeanPlbn

    • 58 min

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