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817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge

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Manage episode 439126547 series 1278026
Contenuto fornito da Jon Krohn. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Jon Krohn o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Overview of Posit and Positron IDE [05:20]

• How the needs of a data scientist differ from those of a software developer [10:54]

• How to contribute to the open-source Positron [19:50]

• MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]

• Natural Language Processing (NLP) and the Tidyverse approach [50:34]

• The role of AI and LLMs in data science education [1:24:18]

Additional materials: www.superdatascience.com/817

  continue reading

1174 episodi

Artwork
iconCondividi
 
Manage episode 439126547 series 1278026
Contenuto fornito da Jon Krohn. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Jon Krohn o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Overview of Posit and Positron IDE [05:20]

• How the needs of a data scientist differ from those of a software developer [10:54]

• How to contribute to the open-source Positron [19:50]

• MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]

• Natural Language Processing (NLP) and the Tidyverse approach [50:34]

• The role of AI and LLMs in data science education [1:24:18]

Additional materials: www.superdatascience.com/817

  continue reading

1174 episodi

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