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Jigyasa Grover - Becoming a Published Author on ML and Women in AI Award Winner

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Manage episode 330927265 series 2821290
Content provided by Justin Grammens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justin Grammens 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://player.fm/legal.

The conversation this week is with Jigyasa Grover. Jigyasa recently co-authored a book titled Sculpting Data for ML: The First Act of Machine Learning. The book is a combination of a myriad of experiences from brief stints at Facebook, the National Research Council of Canada, and the Institute of Research and Development France, involving data science, mathematical modeling, and software engineering. She graduated from the University of California, San Diego with a master's degree in computer science and an artificial intelligence specialization. Jigyasa is presently applying her past experiences and knowledge towards applied machine learning in the online advertisement prediction and ranking domain. She served as the director of Women Who Code and lead of Women Techmakers for a handful of years to help bridge the gender gap and technology. In her quest to build a powerful community of girls and boys alike. And believing we rise by lifting others. She mentored aspiring developers and machine learning enthusiasts in various global programs.

If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

Resources and Topics Mentioned in this Episode

Enjoy!

Your host,
Justin Grammens

  continue reading

94 episodes

Artwork
iconShare
 
Manage episode 330927265 series 2821290
Content provided by Justin Grammens. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justin Grammens 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://player.fm/legal.

The conversation this week is with Jigyasa Grover. Jigyasa recently co-authored a book titled Sculpting Data for ML: The First Act of Machine Learning. The book is a combination of a myriad of experiences from brief stints at Facebook, the National Research Council of Canada, and the Institute of Research and Development France, involving data science, mathematical modeling, and software engineering. She graduated from the University of California, San Diego with a master's degree in computer science and an artificial intelligence specialization. Jigyasa is presently applying her past experiences and knowledge towards applied machine learning in the online advertisement prediction and ranking domain. She served as the director of Women Who Code and lead of Women Techmakers for a handful of years to help bridge the gender gap and technology. In her quest to build a powerful community of girls and boys alike. And believing we rise by lifting others. She mentored aspiring developers and machine learning enthusiasts in various global programs.

If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

Resources and Topics Mentioned in this Episode

Enjoy!

Your host,
Justin Grammens

  continue reading

94 episodes

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