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.

Denne podkasten er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(605)

Time Series for Good

Time Series for Good

Bahman Rostami-Tabar, Senior Lecturer in Management Science at Cardiff University, joins us today to talk about his work "Forecasting and its Beneficiaries."

1 Nov 202137min

Long Term Time Series Forecasting

Long Term Time Series Forecasting

Alex Mallen, Computer Science student at the University of Washington, and Henning Lange, a Postdoctoral Scholar in Applied Math at the University of Washington, join us today to share their work "Dee...

25 Okt 202137min

Fast and Frugal Time Series Forecasting

Fast and Frugal Time Series Forecasting

Fotios Petropoulos, Professor of Management Science at the University of Bath in The U.K., joins us today to talk about his work "Fast and Frugal Time Series Forecasting."

17 Okt 202137min

Causal Inference in Educational Systems

Causal Inference in Educational Systems

Manie Tadayon, a PhD graduate from the ECE department at University of California, Los Angeles, joins us today to talk about his work "Comparative Analysis of the Hidden Markov Model and LSTM: A Simul...

11 Okt 202141min

Boosted Embeddings for Time Series

Boosted Embeddings for Time Series

Sankeerth Rao Karingula, ML Researcher at Palo Alto Networks, joins us today to talk about his work "Boosted Embeddings for Time Series Forecasting." Works Mentioned Boosted Embeddings for Time Serie...

4 Okt 202128min

Change Point Detection in Continuous Integration Systems

Change Point Detection in Continuous Integration Systems

David Daly, Performance Engineer at MongoDB, joins us today to discuss "The Use of Change Point Detection to Identify Software Performance Regressions in a Continuous Integration System". Works Mentio...

27 Sep 202133min

Applying k-Nearest Neighbors to Time Series

Applying k-Nearest Neighbors to Time Series

Samya Tajmouati, a PhD student in Data Science at the University of Science of Kenitra, Morocco, joins us today to discuss her work Applying K-Nearest Neighbors to Time Series Forecasting: Two New App...

20 Sep 202124min

Ultra Long Time Series

Ultra Long Time Series

Dr. Feng Li, (@f3ngli) is an Associate Professor of Statistics in the School of Statistics and Mathematics at Central University of Finance and Economics in Beijing, China. He joins us today to discus...

13 Sep 202128min

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