This episode of Techsplainers explores unsupervised learning—how AI discovers patterns in data without human guidance through clustering, association rules, and dimensionality reduction.
This episode of Techsplainers explores supervised learning—how AI models learn from labeled data to make predictions, the algorithms that power it, and its real-world applications and limitations.
This episode of Techsplainers breaks down machine learning basics, exploring how AI systems learn from data and the three key approaches: supervised, unsupervised, and reinforcement learning.
This episode of Techsplainers explores continuous testing in software development, showing how automation and early feedback improve code quality while accelerating delivery.
This episode of Techsplainers explores continuous delivery—how automating software releases creates a reliable pipeline from code changes to production, enabling faster, higher-quality updates.
This episode of Techsplainers explores continuous delivery—how automating software releases creates a reliable pipeline from code changes to production, enabling faster, higher-quality updates.
This episode of Techsplainers explores continuous delivery—how automating software releases creates a reliable pipeline from code changes to production, enabling faster, higher-quality updates.
This episode of Techsplainers explores continuous integration—how regularly merging small code changes with automated testing helps development teams build better software faster.
This episode of Techsplainers explores qubits—the powerful quantum bits that enable quantum computing by existing in multiple states simultaneously, unlike classical computer bits.
6 min
About Techsplainers by IBM
From the publisher's feed
Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.
This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.