Into the Hopper

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An occasional podcast about machine learning, data science, software engineering, and more.

Tim Hopper


    • Feb 6, 2022 LATEST EPISODE
    • infrequent NEW EPISODES
    • 8 EPISODES


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    Latest episodes from Into the Hopper

    Apache Pulsar with Jowanza Joseph

    Play Episode Listen Later Feb 6, 2022


    I talk with Jowanza Joseph about his new book Mastering Apache Pulsar: Cloud Native Event Streaming at Scale

    Ocean Engineering to Data Science with Brenton Mallen

    Play Episode Listen Later Sep 15, 2021


    I talk with Brenton Mallen about his career progression from ocean engineering to data science.

    Hiring Data Scientists with Roy Keyes

    Play Episode Listen Later Jun 30, 2021


    Feature Stores with Willem Pienaar

    Play Episode Listen Later Jan 16, 2021


    Adam Laiacano and I talk with Willem Pienaar, software engineer at Tecton, about feature stores and his work on the Feast open source feature store library.

    Evolution of a Data Scientist with Adam Laiacano

    Play Episode Listen Later Oct 9, 2020


    I talk with Spotify Staff Machine Learning Engineer Adam Laiacano about his roots working on nuclear clocks and his evolution into leading machine learning projects at Spotify.

    Customer Focused Data Science with Mike Rogers

    Play Episode Listen Later Jul 23, 2020


    In this episode, I speak with Mike Rogers, Senior Director of Solutions Architecture at Tala Security, about the importance of customer-focused data science for enterprise software products.

    Fizz Buzz Book with Joel Grus

    Play Episode Listen Later Jul 15, 2020


    In this episode, Joel and I discuss his brilliant new book Ten Essays on Fizz Buzz Meditations on Python, mathematics, science, engineering, and design.

    Ten Years of Data Science with Josh Wills and Oscar Boykin

    Play Episode Listen Later Feb 17, 2020


    In this episode, we discuss metadata stores, the marketability of math skills, dreams for the data science language of the future, the career advantage of tackling easy problems, and machine learning as technical debt. Josh also bashes blockchains.

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