Charles Martin

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I do freelance consulting in machine learning, data science, and software development. I have personally developed machine learning (ML) systems and helped get them into production at companies like GoDaddy, Aardvark (Google), eBay, and Blackrock. I recently helped GoDaddy predict the price of domains in the aftermarket. Last year I was with Swoop doing computational advertising. In 2011, I helped Demand Media become the first $1B IPO since Google: http://www.youtube.com/watch?v=6Cv_Rv56TA0 I was at Aardvark, acquired by Google and featured in the Lean StartUp, and a subject matter expert (SME) in ML at eBay. At my first startup, in the late 90s, I developed semi-supervised ML a...

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About

Charles Martin

Presentations

CC Talk at Berekely

Cc hass b school talk 2105

Applied machine learning for search engine relevance 3

CC mmds talk 2106

Cc stat phys draft

Palo alto university rotary club talk Sep 29, 2107

Capsule Networks

Why Deep Learning Works: Self Regularization in Deep Neural Networks

Why Deep Learning Works: Self Regularization in Deep Neural Networks

Why Deep Learning Works: Self Regularization in Deep Neural Networks

AI and Machine Learning for the Lean Start Up

Why Deep Learning Works: Dec 13, 2018 at ICSI, UC Berkeley

This Week in Machine Learning and AI Feb 2019

Statistical Mechanics Methods for Discovering Knowledge from Production-Scale Neural Networks

Building AI Products: Delivery Vs Discovery

Stanford ICME Lecture on Why Deep Learning Works

WeightWatcher Update: January 2021

WeightWatcher Introduction

Search relevance

Georgetown B-school Talk 2021

Weight watcher Bay Area ACM Feb 28, 2022

ENS Macrh 2022.pdf

ICCF24.pdf

WeightWatcher LLM Update

LLM avalanche June 2023.pdf

Heavy Tails Workshop NeurIPS2023.pdf

Likes

WeightWatcher Introduction

AI in Search Engines

A review of two decades of correlations, hierarchies, networks and clustering in financial markets

Why Deep Learning Works: Self Regularization in Deep Neural Networks

Causality without headaches

Feynman diagrams

Past present and future of Recommender Systems: an Industry Perspective

SEOmoz Pitch Deck July 2011