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Complex ML Models with Data Scientist Fernando Lopez - ML 089

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Manage episode 342659287 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring. Michael and Ben also deep dive into various related ML models and AI topics.
In this episode…
  • Core software engineering skills
  • Practice data algorithms and structures
  • Working towards production-grade ML
  • Data engineering and data structures
  • Using state-of-the-art models
  • Applying labels to data
  • The AI revolution
  • Eliminating bias and unweighted data set
  • Unconscious and conscious exercises
  • Complex models with structure

Sponsors
Links
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
  continue reading

173 episoade

Artwork
iconDistribuie
 
Manage episode 342659287 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate hiring. Michael and Ben also deep dive into various related ML models and AI topics.
In this episode…
  • Core software engineering skills
  • Practice data algorithms and structures
  • Working towards production-grade ML
  • Data engineering and data structures
  • Using state-of-the-art models
  • Applying labels to data
  • The AI revolution
  • Eliminating bias and unweighted data set
  • Unconscious and conscious exercises
  • Complex models with structure

Sponsors
Links
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
  continue reading

173 episoade

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