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755: Brewing Beer with A.I., with Beau Warren

755: Brewing Beer with A.I., with Beau Warren

FromSuper Data Science: ML & AI Podcast with Jon Krohn


755: Brewing Beer with A.I., with Beau Warren

FromSuper Data Science: ML & AI Podcast with Jon Krohn

ratings:
Length:
96 minutes
Released:
Feb 6, 2024
Format:
Podcast episode

Description

ChatGPT applications and data-driven beer: Beer brewer and Super Data Science regular listener Beau Warren talks to Jon Krohn about the wonders of “sweaty ales”, how to brew beer with data, and how to get started on creative machine learning projects even without a degree in data science.

This episode is brought to you by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• About Species X [06:31]
• How to become a certified beer taster [12:37]
• How Beau checks the quality of his beer [25:01]
• Beau and Jon’s machine learning project [38:02]
• About genetic algorithms [52:35]
• How to get creativity out of LLMs [1:24:46]

Additional materials: www.superdatascience.com/755
Released:
Feb 6, 2024
Format:
Podcast episode

Titles in the series (63)

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.