[MINI] Parallel Algorithms

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

Machine learning algorithms need examples of data from which they can learn, especially supervised machine learning algorithms. However, one big challenge for those looking to put machine learning into practice is the lack of a sufficient quantity of good quality data examples fr ...  Show more

What does Big Data actually mean? How has the science of Big Data changed recently? What are the potential benefits and pitfalls of Big Data? See omnystudio.com/listener for privacy information. 

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Python has beome the de facto language for working with data. That has brought with it a number of challenges having to do with the speed and scalability of working with large volumes of information.There have been many ...

In the 1950s and 60s - even leading into the 1990s - the cost of storage was so high, that using a 2-digit field for dates in a software instead of 4-digits could save an organization between $1.2-$2 Million dollars per GB of data. From this perspective, programming computers in ...  Show more