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Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043
About this Episode
Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want. Panel
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- Ben Wilson
- Charles Max Wood
- Sandeep Uttamchandani
- 98 things that can go wrong in an ML project
- The Self-Service Data Roadmap
- How to build a unicorn AI team without unicorns
- For Successful AI Projects, Celebrate Your Graveyard
- Data for Humanity
- For successful AI projects, celebrate your graveyard and be prepared to fail fast
- Sandeep Uttamchandani - Medium
- Sandeep Uttamchandani, Ph.D.
- Twitter: Sandeep Uttamchandan ( @sandeepu )
- Ben- The Self-Service Data Roadmap
- Charles- Level Up | Devchat.tv
- Charles- Big Rock Candy Mountain Resort
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Top End Devs Coaching: If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.
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.
Hosts & Guests
No transcript available for this episode.
