エピソード

  • 822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents

    822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents
    2024/09/27
    NotebookLM, Google’s latest AI tool, takes content creation to a new level. This week, Jon Krohn shares how the platform transformed his 200-page dissertation into a fascinating 11-minute podcast. Discover how AI can turn vast amounts of information into engaging and digestible content, opening up new possibilities for content creation. Additional materials: www.superdatascience.com/822  Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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    19 分
  • 821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman

    821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman
    2024/09/24
    Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a data science career don’t work in practice, and why the term “data scientist” is still so elusive and hard to recruit for. This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • How Marck started his work in defining data science roles [08:06] • The relationship between the four data practitioner personas [15:26] • About Marck’s “menu” for effective data science [40:43] • How recruiters can hire the best data scientist for the job [59:31] Additional materials: www.superdatascience.com/821
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    1 時間 13 分
  • 820: OpenAI's o1 "Strawberry" Models

    820: OpenAI's o1 "Strawberry" Models
    2024/09/20
    Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI. Additional materials: www.superdatascience.com/820  Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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    27 分
  • 819: PyTorch: From Zero to Hero, with Luka Anicin

    819: PyTorch: From Zero to Hero, with Luka Anicin
    2024/09/17
    SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project. This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • About the PyTorch library [03:29] • Why PyTorch became so popular [25:24] • How to increase accuracy and efficiency in PyTorch [31:49] • How to utilize transfer learning [35:44] • Why real-world projects are essential to data scientists [41:10] • About Datablooz [46:49] Additional materials: www.superdatascience.com/819
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    1 時間 6 分
  • 818: In Case You Missed It in August 2024

    818: In Case You Missed It in August 2024
    2024/09/13
    Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks. Additional materials: www.superdatascience.com/818  Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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    30 分
  • 817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge

    817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
    2024/09/10
    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
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    1 時間 36 分
  • 816: Explaining AGI to a 94-Year-Old

    816: Explaining AGI to a 94-Year-Old
    2024/09/06
    Jon Krohn takes on a listener's challenge to explain his work in data science to his 94-year-old grandmother, Annie. This heartwarming conversation covers what data is, the role of a data scientist, and breaks down artificial intelligence (AI) and artificial general intelligence (AGI) in simple terms. The episode provides a fresh take on how to communicate complex topics to a lay audience, offering both clarity and insight. Additional materials: www.superdatascience.com/816  Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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    20 分
  • 815: Polars: Faster DataFrame Ops, with Marco Gorelli

    815: Polars: Faster DataFrame Ops, with Marco Gorelli
    2024/09/03
    Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions. This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • When to use Polars vs Pandas [08:26] • How Polars optimizes string operations and data processing [20:08] • Where Narwhals outstrips Polars and Pandas [48:37] • The benefits of using Altair [55:21] • Addressing the lack of women in data science [1:09:58] • How to win a forecasting competition [1:16:58] Additional materials: www.superdatascience.com/815
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    1 時間 27 分