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Dexa/Super Data Science: ML & AI Podcast with Jon Krohn

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Embracing Failure

Success in research requires a passion for programming and a willingness to embrace failure. Independent thinking is crucial, as is the ability to collaborate with others. Diverse backgrounds in fields like immunology and mathematics enrich the research experience, highlighting that there are many pathways to contribute effectively.
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    Super Data Science: ML & AI Podcast with Jon Krohn avatar

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  • Related Questions

    • How can I pursue a career in AI if I have no background in computers, can't code, and am not great at math, but love AI and its possibilities? I am interested in a role where I can show others or help AI be integrated into workplaces. I've done user testing for three AI startup companies, focusing on user experience, and I really enjoy that aspect.

    • How can I make a connection and bond with computer science like Andrew Huberman does with neuroscience, considering I picked computer science out of its demand and scope?

    • I study computer science engineering as part of a BTech degree. How can I make a connection and bond with the subject like Andrew Huberman does with neuroscience, considering I picked computer science out of its demand and scope?

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