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

Super Data Science: ML & AI Podcast with Jon Krohn

#Data Science #Science #Tech #Software Development #Jon Krohn

29:53

Living together in a group is a strategy many animals use to survive and thrive. And a big part of what makes that living situation successful is listening. In this episode, we explore the collaborative world of the naked mole-rat. Threshold is nonprofit, listener-supported, and independently produced. You can support Threshold by donating today . To stay connected, sign up for our newsletter . Operation frog sound! Send us your frog sounds for an upcoming episode. We want you to go out, listen for frogs and toads, and record them. Just find someone croaking, and hit record on your phone. It doesn’t matter if there’s background noise. It doesn’t even matter if you’re not sure whether or not you’re hearing an amphibian—if you think you are, we would love to get a recording from you. Please also say your name and where you are in the world, and then email the recording to us at outreach@thresholdpodcast.org…

hace un año 1:36:11

MP3•Episodio en casa

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 natalie@superdatascience.com 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

954 episodios

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

Super Data Science: ML & AI Podcast with Jon Krohn

52 subscribers

published hace un año

MP3•Episodio en casa

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

954 episodios

#Data Science #Science #Tech #Software Development #Jon Krohn

Todos los episodios

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876: Hugging Face’s smolagents: Agentic AI in Python Made Easy 15:11

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875: How Semiconductors Are Made (And Fuel the AI Boom), with Kai Beckmann 1:10:29

hace 5 días1:10:29

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Why are semiconductors so essential in this digital age, and how are they made? Jon Krohn speaks to electronics CEO Kai Beckmann about Merck KGaA, Darmstadt, Germany’s intricate manufacturing process, how we can use AI to develop materials that power next-gen AI technologies, and how a chip with the processing power of the human brain might one day be able to run on the power of a low-watt light bulb. Additional materials: www.superdatascience.com/875 This episode is brought to you by the Dell AI Factory with NVIDIA . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (06:26) How Merck KGaA, Darmstadt, Germany supports groundbreaking developments in AI (13:42) Material science’s biggest challenges for AI (29:55) What heterogeneous integration is (34:37) How optical tech influences the electronics industry (49:04) Navigating upturns and downturns in the semiconductor industry (53:08) How AI regulations benefit humanity…

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874: How AI is Transforming Baseball (with Lessons For All of Us) 14:27

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873: Become Your Best Self Through AI Augmentation — feat. Natalie Monbiot 1:12:32

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872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer 12:20

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871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake 1:13:11

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Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025. Additional materials: www.superdatascience.com/871 This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC , the Open Data Science Conference . Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:10) How Richmond became a Staff Developer Advocate (07:40) How NoSQL database differs from a relational database (16:50) The advantages of working with the cloud-based MongoDB Atlas (32:26) Richmond’s predictions for agentic AI (40:38) How to create an effective AI strategy…

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870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes 17:22

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869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole 1:19:42

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868: In Case You Missed It in February 2025 26:31

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867: LLMs and Agents Are Overhyped, with Dr. Andriy Burkov 1:33:12

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866: Bringing Back Extinct Animals like the Woolly Mammoth and Dodo Bird 7:31

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865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib 53:50

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864: OpenAI’s o3-mini: SOTA reasoning and exponentially cheaper 8:17

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863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter 1:06:06

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862: In Case You Missed It in January 2025 31:51

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