Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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Mar 24, 2023 • 5min

664: MIT Study: ChatGPT Dramatically Increases Productivity

Explore how ChatGPT can enhance productivity at work based on a new study from MIT. Learn about the significant time-saving and quality improvements observed in white-collar tasks using this tool.
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Mar 21, 2023 • 1h 17min

663: Astonishing CICERO negotiates and builds trust with humans using natural language

Guest Alexander H. Miller discusses training a natural language model to interact with Diplomacy players, using transformer architectures, Diplomacy AI workings, potential real-world applications of CICERO, R&D an AI project, and becoming an AI Research Manager.
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Mar 17, 2023 • 8min

662: The Most Popular SuperDataScience Podcast Episodes of 2022

Discover the top 10 episodes from 2022 featuring discussions on Pandas, causality, AI breakthroughs, and data storytelling. Host acknowledges audience support and podcast growth in early 2023.
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Mar 14, 2023 • 1h 17min

661: Designing Machine Learning Systems

Chip Huyen, author of 'Designing Machine Learning Systems', shares insights on real-time machine learning, training data, feature engineering, and productivity tips. She discusses aligning business intent with ML, secrets to good features, optimizing productivity, and the importance of real-time ML applications.
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Mar 10, 2023 • 4min

660: Five Ways to Use ChatGPT for Data Science

Data scientist Jon Krohn discusses five critical ways that ChatGPT can augment a data scientist's work, from generating code to acting as a translation tool for programming languages. Learn how ChatGPT can become a vital part of every data scientist's toolkit.
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Mar 7, 2023 • 1h 21min

659: Open-Source Tools for Natural Language Processing

NLP expert Vincent Warmerdam discusses open-source tools like spaCy and Prodigy for efficient data annotation and training. He highlights the value of linguistics in NLP, managing 'skill anxiety' with Calmcode, and constraining artificial stupidity for better outcomes in ML projects.
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Mar 3, 2023 • 36min

658: How to Build Data and ML Products Users Love

Brian T. O'Neill discusses how to build data and ML products that users love, emphasizing the importance of creating valuable solutions for end users while highlighting the role of a data product manager in product development. He also shares insights on the transition into data design consulting and the significance of understanding user needs for successful product development.
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6 snips
Feb 28, 2023 • 1h 10min

657: How to Learn Data Engineering

Data engineering educator Andreas Kretz and Jon Krohn discuss the importance of data engineering skills, differences between junior and senior data engineers, essential data engineering tools, the right path to learn data engineering, the future of data engineering, and Andreas's career challenges.
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Feb 24, 2023 • 42min

656: A.I. Talent and the Red-Hot A.I. Skills

Jon Krohn and Jaclyn Rice Nelson discuss attracting AI recruiters, essential skills for AI professionals, in-demand roles, and tips for AI talent. They explore creating a community of AI experts, characteristics of top AI talent, predictions for AI advancements, and the demand for AI skills like LLM specialization.
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Feb 21, 2023 • 1h 43min

655: AI ROI: How to get a profitable return on an AI-project investment

Data Scientist in Residence at Pandata, Keith McCormick, and Jon Krohn discuss the importance of having a specific revenue-related goal at the start of an AI project, ensuring profitability, and the gaps in data science education. They highlight the role of the C-suite, transparency in AI projects, and the need for clear project goals and structured approaches for successful AI investments.

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