k-means Image Segmentation
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 thi...
22 Helmi 202223min
Tracking Elephant Clusters
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 m...
18 Helmi 202226min
k-means clustering
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 over...
14 Helmi 202224min
Snowflake Essentials
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 wit...
7 Helmi 202246min
Explainable Climate Science
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 Menti...
31 Tammi 202234min
Energy Forecasting Pipelines
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 sustaina...
24 Tammi 202243min
Matrix Profiles in Stumpy
Sean Law, Principle Data Scientist, R&D at a Fortune 500 Company, comes on to talk about his creation of the STUMPY Python Library. Sponsored by Hello Fresh and mParticle: Go to Hellofresh.com/dataske...
17 Tammi 202239min
The Great Australian Prediction Project
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 co...
14 Tammi 202225min
