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 15 of '100 Days of Data,' Jonas and Amy dive into the world of Exploratory Data Analysis (EDA), the essential first step in any data project. With a mix of real-world examples and practical tools, they explore how EDA helps uncover hidden patterns, anomalies, and trends in messy datasets. From visualizing engine failure spikes in the automotive industry to identifying unusual spending patterns in finance, the hosts demonstrate the power of combining statistics with storytelling. Th...
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...
