In Episode 23 of '100 Days of Data,' Jonas and Amy explore the fundamentals of machine learning—how machines learn patterns from data without being explicitly programmed. They break down key components including algorithms, patterns, and models, using real-world analogies and business examples to demystify complex concepts. From manufacturing defect detection to retail recommendation systems, the hosts illustrate how machine learning moves beyond traditional programming by leveraging vast amo...
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In Episode 23 of '100 Days of Data,' Jonas and Amy explore the fundamentals of machine learning—how machines learn patterns from data without being explicitly programmed. They break down key components including algorithms, patterns, and models, using real-world analogies and business examples to demystify complex concepts. From manufacturing defect detection to retail recommendation systems, the hosts illustrate how machine learning moves beyond traditional programming by leveraging vast amo...
In Episode 5 of '100 Days of Data,' Jonas and Amy delve into why data quality is essential to any successful AI initiative. They explore the three foundational pillars of data quality — accuracy, completeness, and consistency — through relatable stories ranging from retail and healthcare to manufacturing and finance. The hosts illustrate how flaws in data can lead to costly mistakes, missed opportunities, or outright failures in AI systems. They also discuss how human oversight, outdated syst...
100 days of data
In Episode 23 of '100 Days of Data,' Jonas and Amy explore the fundamentals of machine learning—how machines learn patterns from data without being explicitly programmed. They break down key components including algorithms, patterns, and models, using real-world analogies and business examples to demystify complex concepts. From manufacturing defect detection to retail recommendation systems, the hosts illustrate how machine learning moves beyond traditional programming by leveraging vast amo...
