Data Skeptic

Data Skeptic

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

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Episoder(605)

Does Remote Learning Work?

Does Remote Learning Work?

We explore this complex question in two interviews today.  First, Kasey Wagoner describes 3 approaches to remote lab sessions and an analysis of which was the most instrumental to students.  Second, T...

1 Mai 202248min

Covid-19 Impact on Bicycle Usage

Covid-19 Impact on Bicycle Usage

In this episode, we speak with Abdullah Kurkcu, a Lead Traffic Modeler. Abdullah joins us to discuss his recent study on the effect of COVID-19 on bicycle usage in the US. He walks us through the data...

25 Apr 202231min

Learning Digital Fabrication Remotely

Learning Digital Fabrication Remotely

Today, we are joined by Jennifer Jacobs and Nadya Peek, who discuss their experience in teaching remote classes for a course that is largely hands-on. The discussion was focused on digital fabrication...

22 Apr 202233min

Remote Software Development

Remote Software Development

Today, we are joined by Denae Ford, a Senior Researcher at Microsoft Research and an Affiliate Assistant Professor at the University of Washington. Denae discusses her work around remote work and its ...

18 Apr 202237min

Quantum K-Means

Quantum K-Means

In this episode, we interview Jonas Landman, a Postdoc candidate at the University of Edinburg. Jonas discusses his study around quantum learning where he attempted to recreate the conventional k-mean...

11 Apr 202239min

K-Means in Practice

K-Means in Practice

K-means is widely used in real-life business problems. In this episode, Mujtaba Anwer, a researcher and Data Scientist walks us through some use cases of k-means. He also spoke extensively on how to p...

4 Apr 202230min

Fair Hierarchical Clustering

Fair Hierarchical Clustering

Building a fair machine learning model has become a critical consideration in today's world. In this episode, we speak with Anshuman Chabra, a Ph.D. candidate in Computer Networks. Chhabra joins us to...

28 Mar 202234min

Matrix Factorization For k-Means

Matrix Factorization For k-Means

Many people know K-means clustering as a powerful clustering technique but not all listeners will be as familiar with spectral clustering. In today's episode, Sibylle Hess from the Data Mining group a...

21 Mar 202230min

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