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Mike’s Machine Learning Blog

CNN Birdsong Classifier Evaluation

CNN
conservation
AI
birdsong
evaluation
This notebook collates the results of the CNN birdsong detector against different test sets and comparison with a state of the art multi-species model.
Mar 26, 2025

CNN Birdsong Classifier Description

CNN
conservation
AI
birdsong
project
Process description for the Olive Sided Flycatcher recognizer.
Mar 26, 2025

Simple RAG Example

RAG
DeepSeek
LLMs
Claude
Thank you Ben Clavié for getting me started on this path.
Jan 24, 2025

Random Forests for insurance premium prediction

Decision trees
Neural network
Ensembling
Insurance
Kaggle
Random Forests
FastAI
This notebook trains a random forest model to predict car insurance premium for a given customer.
Dec 1, 2024

Training a book reccomendation system using entity embeddings

Embeddings
Reccomender Systems
AI
PyTorch
fastai
Bias
L2 Regularization
Latent Factors
Cosine Similarity
In this example I’ll make a collaborative filtering model (recommender system) which uses an entity embedding as part of a system for recommending books to users.
Mar 20, 2024

Boat detector: Multi-Class vs Single-class Image Classification

Boat Classifier
CNN
Image recognition
Binary Crossentropy Loss
SoftMax
CrossEntropy
AI
Image Augmentation
Learning Rate Finder
In this notebook we build and train a convolutional neural network…
Feb 20, 2023

Solving linear and nonlinear equations with neural networks

Universal Approximation Theorem
PyTorch
Feature Crosses
Neural Networks
Linear Equations
Nonlinear Equations
Topics covered: - PyTorch - Feature Crosses - Linear and nonlinear models - universal approximation theorem - interpreting loss curves
Feb 1, 2023

Probability Distributions

Exploration
probability
PDF
What happens when we add two sets of data with rectangular probability distributions?
Jan 15, 2023
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