Data Skeptic

Latest Episodes:

k-means Image Segmentation Feb 22, 2022

Show notes

Linh Da joins us to explore how image segmentation can be done using k-means clustering. Image segmentation involves dividing an image into a distinct set of segments. One such approach is to do this purely on color, in which case, k-means clustering is a good option.

Check out our website for extended show notes and images! Thanks to our Sponsors: Visit Weights and Biases mention Data Skeptic when you request a demo! & Nomad Data In the image below, you can see the k-means clustering segmentation results for the same image with the values of 2, 4, 6, and 8 for k.

Tracking Elephant Clusters Feb 18, 2022

Show notes

In today's episode, Gregory Glatzer explained his machine learning project that involved the prediction of elephant movement and settlement, in a bid to limit the activities of poachers. He used two machine learning algorithms, DBSCAN and K-Means clustering at different stages of the project. Listen to learn about why these two techniques were useful and what conclusions could be drawn.

Click here to see additional show notes on our website!

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k-means clustering Feb 14, 2022

Show notes

Welcome to our new season, Data Skeptic: k-means clustering. Each week will feature an interview or discussion related to this classic algorithm, it's use cases, and analysis.

This episode is an overview of the topic presented in several segments.

Snowflake Essentials Feb 07, 2022

Show notes

Frank Bell, Snowflake Data Superhero, and SnowPro, joins us today to talk about his book "Snowflake Essentials: Getting Started with Big Data in the Cloud."

Snowflake Essentials: Getting Started with Big Data in the Cloud by Frank Bell, Raj Chirumamilla, Bhaskar B. Joshi, Bjorn Lindstrom, Ruchi Soni, Sameer Videkar
Snowflake Solutions
Snoptimizer - Snowflake Cost, Security, and Performance Optimization - Coming Soon!

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Explainable Climate Science Jan 31, 2022

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Zack Labe, a Post-Doctoral Researcher at Colorado State University, joins us today to discuss his work "Detecting Climate Signals using Explainable AI with Single Forcing Large Ensembles." Works Mentioned "Detecting Climate Signals using Explainable AI with Single Forcing Large Ensembles" by Zachary M. Labe, Elizabeth A. Barnes Sponsored by: Astrato and BBEdit by Bare Bones Software

Energy Forecasting Pipelines Jan 24, 2022

Show notes

Erin Boyle, the Head of Data Science at Myst AI, joins us today to talk about her work with Myst AI, a time series forecasting platform and service with the objective for positively impacting sustainability. https://docs.myst.ai/docs Visit Weights and Biases at wandb.me/dataskeptic Find Better Data Faster with Nomad Data. Visit nomad-data.com

Matrix Profiles in Stumpy Jan 17, 2022

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Sean Law, Principle Data Scientist, R&D at a Fortune 500 Company, comes on to talk about his creation of the STUMPY Python Library.

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The Great Australian Prediction Project Jan 14, 2022

Show notes

Data scientists and psychics have at least one major thing in common. Both professions attempt to predict the future. In the case of a data scientist, this is done using algorithms, data, and often comes with some measure of quality such as a confidence interval or estimated accuracy. In contrast, psychics rely on their intuition or an appeal to the supernatural as the source for their predictions. Still, in the interest of empirical evidence, the quality of predictions made by psychics can be put to the test.

The Great Australian Psychic Prediction Project seeks to do exactly that. It's the longest known project tracking annual predictions made by psychics, and the accuracy of those predictions in hindsight. Richard Saunders, host of The Skeptic Zone Podcast, joins us to share the results of this decadal study.

Read the full report: https://www.skeptics.com.au/2021/12/09/psychic-project-full-results-released/

And follow the Skeptics Zone: https://www.skepticzone.tv/

Water Demand Forecasting Jan 10, 2022

Show notes

Georgia Papacharalampous, Researcher at the National Technical University of Athens, joins us today to talk about her work "Probabilistic water demand forecasting using quantile regression algorithms."

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Open Telemetry Jan 03, 2022

Show notes

John Watson, Principal Software Engineer at Splunk, joins us today to talk about Splunk and OpenTelemetry.

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