388 episodes

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.

Data Skeptic Kyle Polich

    • Science
    • 4.4 • 463 Ratings

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.

    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 "Deep Probabilistic Koopman: Long-term Time-Series Forecasting Under Periodic Uncertainties."

    • 37 min
    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."

    • 37 min
    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 Simulative Approach.”

    • 41 min
    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 Series Forecasting
    by Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa Polania Cabrera, Marjorie Sayer, Claudionor Nunes Coelho Jr
    https://www.linkedin.com/in/sankeerthrao/
    https://twitter.com/sankeerthrao3 
    https://lod2021.icas.cc/ 

    • 28 min
    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 Mentioned
    The Use of Change Point Detection to Identify Software Performance Regressions in a Continuous Integration System
    by David Daly, William Brown, Henrik Ingo, Jim O’Leary, David BradfordSocial Media
    David's Website
    David's Twitter
    Mongodb

    • 33 min
    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 Approaches.

    • 24 min

Customer Reviews

4.4 out of 5
463 Ratings

463 Ratings

App-raterian ,

Professional and informative

The thing I like most about this podcast is the professionalism - the host, Kyle, always keep the content professional and impartial, allowing the listener to focus on the science rather than lecturing the listener. The content is also Dell big technically to serve as an introduction to many methods in ML

Mensch25 ,

Great podcast

I also want to leave a five star review to counterbalance the fool who left a one star review because the host has not made a comment about BLM! This is a podcast about machine learning and AI. I’m grateful for this excellent resource and the huge amount of work that obviously goes into it.

Hhrbsjdjdkebbhbv ,

Excellent resource!

Just listened to Kyle speaking with Adrian Martin about CNN and cutting edge advancements in neural nets. Love getting this insiders perspective.

Top Podcasts In Science

You Might Also Like