Core Machine Learning

Supervised Learning

Regression, classification, and predictive modeling systems.

Unsupervised Learning

Clustering, dimensionality reduction, and pattern discovery.

Reinforcement Learning

Agent-based decision systems using reward optimization.

Deep Learning Architectures

Neural Networks

Fundamental architectures for representation learning.

Convolutional Neural Networks (CNNs)

Visual and spatial feature extraction systems.

Recurrent Neural Networks (RNNs)

Sequential and temporal modeling systems.

Modern AI Systems

Transformers

Attention-based architectures for sequence modeling.

Large Language Models (LLMs)

Foundation models for reasoning and text generation.

Diffusion Models

Generative models for image and data synthesis.

Specialized Fields

Natural Language Processing

Language understanding, parsing, and generation systems.

Computer Vision

Image recognition, segmentation, and visual reasoning.

AI Consulting

I provide consulting for machine learning systems, model design, and applied AI research problems.

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