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Practical AI: Is it all about building models | Conversation with head of machine learning @Vahan

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Manage episode 319468508 series 3286772
Content provided by Codebasics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Codebasics 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.

Anuj Gupta is the Head of Machine Learning @Vahan and author of a practical natural language processing (NLP) major book (http://www.practicalnlp.ai/) on ML (that was released last year). The book has been endorsed by the best in both academia and industry. Anuj has seen ML in both - research and corporate world and has incubated multiple highly successful ML teams in his career.

We discussed following in this conversation,

* What role does a machine learning engineer play in real life?

* Practical way of approaching machine learning projects

* How does startups use GPT, BERT to solve NLP problems

* AI startup ideas

  continue reading

40 episodes

Artwork
iconShare
 
Manage episode 319468508 series 3286772
Content provided by Codebasics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Codebasics 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.

Anuj Gupta is the Head of Machine Learning @Vahan and author of a practical natural language processing (NLP) major book (http://www.practicalnlp.ai/) on ML (that was released last year). The book has been endorsed by the best in both academia and industry. Anuj has seen ML in both - research and corporate world and has incubated multiple highly successful ML teams in his career.

We discussed following in this conversation,

* What role does a machine learning engineer play in real life?

* Practical way of approaching machine learning projects

* How does startups use GPT, BERT to solve NLP problems

* AI startup ideas

  continue reading

40 episodes

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