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Joseph Matthew

Stop Chasing Consensus. Start Building on Predictions.

Stop Chasing Consensus. Start Building on Predictions.

I came across Jensen Huang's talk on AI and computing's future a few weeks ago. As time is my scarcest commodity, like all videos, I ran it through my pareto prompt: "Extract the 20% of insights that deliver 80% of the value." The AI&

12 Checks for Trustworthy Data Driven Insights

12 Checks for Trustworthy Data Driven Insights

12 Ways to evaluate the integrity of your data insights - Are You Being Misled? In the quest for data-driven decision-making, insights offer a potent fuel for action, but they can also be a mirage that distorts reality. Not all data whispers the truth—some murmur convenient falsehoods. It'

Urban Sounds 8k Classification with Hugging Face Demo

Urban Sounds 8k Classification with Hugging Face Demo

First tutorial using fastpages Jupyter notebook blog - Deploy a fast ai model to HuggingFaces Hugging Face Demo Here is a demo of what this model at Hugging Face : Urban Sound 8K Classification Background Urban Sounds is a dataset of 8732 labeled sounds of less than 4 seconds each from

Compare model performance with three different transformation types

Compare model performance with three different transformation types

A cross-validated approach to verify the impact of a feature on a model In this notebook, I walk you through three different transformation types for audio (wav) files for a ten-class classification problem. In this example, I am using a vision-based algorithm; hence it is easy to visualize the importance

Deploying my first model to HuggingFace spaces

Deploying my first model to HuggingFace spaces

Steps to get the hugging face gradio application to work * toc: true * badges: true * comments: true * categories: [sound, hugging face, fastai] * image: images/Hugging-Face.png Know before getting started This notebook code is the same used to create my app.py file you can find in UrbanSounds8k spaces repo. Creating