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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
Indhold leveret af Codebasics. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Codebasics eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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
Indhold leveret af Codebasics. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Codebasics eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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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