Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator
[ad_1] Computer vision is a vast area for analyzing images and videos. While many people tend to think mostly about ...
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First Principles Thinking for Data Scientists
[ad_1] wrote to the Smithsonian Institution asking for everything they had on human flight. He and his brother Orville devoured ...
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Learning Triton One Kernel at a Time: Matrix Multiplication
[ad_1] multiplication is undoubtedly the most common operation performed by GPUs. It is the fundamental building block of linear algebra ...
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Building A Successful Relationship With Stakeholders
[ad_1] As a data scientist your job is to leverage data to solve business problems and bring value, normally by ...
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Building a Command-Line Quiz Application in R
[ad_1] I science journey a couple of years back, and I realized that most of the experiences I gained tended ...
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How to Spin Up a Project Structure with Cookiecutter
[ad_1] you’re anything like me, “procrastination” might as well be your middle name. There’s always that nagging hesitation before starting ...
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Plotly Dash — A Structured Framework for a Multi-Page Dashboard
[ad_1] Plotly Dash is a framework that allows the creation of interactive dashboards, facilitating the presentation of a wide variety ...
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How To Build Effective Technical Guardrails for AI Applications
[ad_1] with a bit of control and assurance of security. Guardrails provide that for AI applications. But how can those ...
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How the Rise of Tabular Foundation Models Is Reshaping Data Science
[ad_1] Tabular Data! Recent advances in AI—ranging from systems capable of holding coherent conversations to those generating realistic video sequences—are ...
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10 Data + AI Observations for Fall 2025
[ad_1] the final quarter of 2025, it’s time to step back and examine the trends that will shape data and ...
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