Explainable AI: Building Trust Through Transparency in Data and AI
Explore explainable AI and learn why transparency is key to trust and success in AI systems making real-world decisions.
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Data Preparation for AI: Why Cleaning Data Takes Up 80 Percent of the Work
Discover why 80 percent of AI work is data cleaning. Learn key steps in data preparation that turn messy data into trustworthy AI results and business insights.
Episode 31-Data Preparation for AI
Discover how data cleaning, preprocessing, and feature engineering power AI success in the 100 Days of Data Podcast with Jonas and Amy.
Unsupervised Learning in AI: When Machines Find Structure on Their Own
Discover how unsupervised learning lets AI find hidden patterns in unlabeled data, helping businesses gain insights and solve problems without predefined answers.
Understanding AI: How Data and Math Power Artificial Intelligence
Explore what AI really means, common misconceptions, and how businesses use data and math to make AI work for them.