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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
Innhold levert av Codebasics. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Codebasics eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

Artwork
iconDel
 
Manage episode 319468508 series 3286772
Innhold levert av Codebasics. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Codebasics eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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 episoder

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