[MINI] Backpropagation

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social ch ...  Show more

News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib ...  Show more

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Machine learning consists of three steps: prediction, error evaluation, and learning, implemented by training algorithms on large datasets to build models that can make decisions or classifications. The primary categories of machine learning algorithms are supervised, un ...

Try a walking desk to stay healthy while you study or work!

Full notes at ocdevel.com/ml ...

A programming technique where the developer doesn't specify each step of the algorithm in code, but instead teaches the algorithm to learn from the experience. 

Enjoy this special encore episode. A programming technique where the developer doesn't specify each step of the algorithm in code, but instead teaches the algorithm to learn from the experience.