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

Up and Running with JAX – Backpropagation and Training Neural Networks

April 14, 2025 | The Pleasure of Finding Things Out: A blog by James Triveri

In the third and final installment of the Up and Running with JAX series, we demonstrate the remaining steps required to train and evaluate a simple neural network, specifically the implementation of the loss function, backward pass and training...

$L = - \frac{1}{n}\sum_{i=1}^{C} y_i \times \log(\hat{y_i}),$

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Up and Running with JAX – Fully-Connected Network Forward Pass

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

In a previous post, I introduced JAX with particular emphasis on JIT compilation, vectorizing transformations and automatic differentiation. In this post, we walkthrough an implementation of the forward pass for a fully-connected neural network ...

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Up and Running with JAX – JIT Compilation, Vectorizing Transformations and autodiff

March 22, 2025 | The Pleasure of Finding Things Out: A blog by James Triveri

I first learned about JAX a few years back in an article on functorch. Functorch was a library that brought JAX-like composable function transformations to PyTorch, initially developed as a separate library but has since been fully integrated in...

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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...

$p_{2}$

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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...

$\phi$

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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

$\phi$

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

Up and Running with JAX – Backpropagation and Training Neural Networks

Up and Running with JAX – Fully-Connected Network Forward Pass

Up and Running with JAX – JIT Compilation, Vectorizing Transformations and autodiff

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