Articles by The Pleasure of Finding Things Out: A blog by James Triveri

Creating Animations with Folium

February 19, 2025 | The Pleasure of Finding Things Out: A blog by James Triveri

TimestampedGeoJson is a Folium plugin that facilitates the visualization of geospatial data that evolves over time using the GeoJSON format with timestamps. This is useful for tracking vehicle trajectories, satellites, pedestrian traffic, change... [...Read more...]

Standing Up Ad-hoc Compute Clusters with Dask

January 2, 2025 | The Pleasure of Finding Things Out: A blog by James Triveri

Dask is an open-source parallel computing library for Python that enables the processing of large datasets and complex computations across multiple cores and distributed systems. It provides a flexible and dynamic task scheduling system that all...

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Multimodal Neural Networks for Risk Classification

December 14, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

Multimodal neural networks are a type of model designed to integrate data from multiple modalities, such as text, images, audio, video, or other data types. Multimodal networks aim to learn complex relationships between different kinds of inputs...

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GIS Algorithms in Python, Part I – Point-to-Point and Point-to-Line Distances

November 22, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

I’ve been spending time exploring Ningchuan Xiao’s excellent book, GIS Algorithms. This text offers a comprehensive dive into fundamental geospatial concepts including geometric algorithms, spatial indexing, and spatial analysis. The author thor...

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The Bootstrap Chain Ladder from Scratch in Python

November 5, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

The bootstrap chain ladder is a statistical technique used in actuarial reserving to project future claim liabilities based on historical data. It builds upon the chain ladder method, but the chain ladder method by itself does not provide a meas...

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The Bootstrap Chain Ladder from Scratch using Pandas

November 5, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

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Determining Distance to Coastline for Policy Locations Using GeoPandas

October 14, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

Knowing the distance to coastline for an exposure is crucial for insurance rating applications because it helps insurers assess the risk of hazards like hurricanes, storm surges, and flooding, which are much more prevalent in coastal areas. This...

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A Data-Driven Approach to Ranking Teams in Uneven Paired Competition

October 4, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

I recently came across The Perron-Frobenius and the Ranking of Football Teams, an interesting paper in which the author describes four different methods to rank teams in uneven paired competition. He goes on to show how each of these methods dep...

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Techniques for Convolutional Neural Network Interpretability

October 3, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

Saliency maps for Convolutional Neural Networks are a technique used to visualize and understand the behavior of CNN models, particularly in tasks such as image classification, object detection and segmentation. They highlight which parts of an ...

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Introduction to Markov Chain Monte Carlo – The Metropolis-Hastings Algorithm

September 21, 2024 | The Pleasure of Finding Things Out: A blog by James Triveri

Markov Chain Monte Carlo (MCMC) is a class of algorithms used to sample from probability distributions when direct sampling is difficult or inefficient. It leverages Markov chains to explore the target distribution and Monte Carlo methods to per...

$f(x|\theta)$

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Data science news and tutorials - contributed by Python bloggers

Articles by The Pleasure of Finding Things Out: A blog by James Triveri

Creating Animations with Folium

Standing Up Ad-hoc Compute Clusters with Dask

Multimodal Neural Networks for Risk Classification

GIS Algorithms in Python, Part I – Point-to-Point and Point-to-Line Distances

The Bootstrap Chain Ladder from Scratch in Python

The Bootstrap Chain Ladder from Scratch using Pandas

Determining Distance to Coastline for Policy Locations Using GeoPandas

A Data-Driven Approach to Ranking Teams in Uneven Paired Competition

Techniques for Convolutional Neural Network Interpretability

Introduction to Markov Chain Monte Carlo – The Metropolis-Hastings Algorithm