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 16 of '100 Days of Data,' Jonas and Amy explore the transformative power of data visualization in analytics. From charts and dashboards to storytelling and interactive tools, they examine how visuals turn raw data into actionable insights. The duo discusses visual cognition, design best practices, and common chart types—breaking down when and why to use them. Real-world examples illustrate how effective visualizations enable faster decisions, reveal hidden patterns, and increase tr...
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...
