• Balancing Theoretical Knowledge with Hands-on Experience - ML 154

  • Jun 13 2024
  • Length: 1 hr and 8 mins
  • Podcast

Balancing Theoretical Knowledge with Hands-on Experience - ML 154 By cover art

Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Listen for free

View show details

  • Summary

  • Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in distributed machine learning. Today’s conversation dives deep into the intersection of AI, environmental science, and career transitions. They explore how individuals like Michael transformed their careers from environmental science to AI, leveraging existing expertise in innovative ways. Ben shares insights on leaping from non-technical roles to data science by embracing automation with Python and machine learning.
    We tackle the critical shift in roles, the balance between education and hands-on experience, and the growing disparity between academia and industry. Brooke brings valuable perspectives on project scoping, from aligning success criteria to ensuring real-world value. The discussion revolves around augmenting existing roles with AI, common pitfalls, and transitioning proofs of concept to production.
    They also explore the practical applications of language models, the debate over open versus closed source models, and the future of AI in various industries. With a focus on collaboration, the traits of top data scientists, and the implications of integrating AI into non-tech fields, this episode is packed with insights and tips for anyone looking to navigate the exciting world of AI and machine learning.
    Join them as they delve into these topics and more, discussing the evolving landscape of AI and how it's shaping careers and industries alike.

    Socials
    • LinkedIn: Brooke Wenig


    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    Show more Show less
activate_primeday_promo_in_buybox_DT
Career Success Economics
Show more Show less

What listeners say about Balancing Theoretical Knowledge with Hands-on Experience - ML 154

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available