Michael A. Alcorn

397 points

Charleston, South Carolina

Michael is currently an Artificial Intelligence Center of Excellence Fellow with the USDA Agricultural Research Service. Previously, Michael earned a Ph.D. in Machine Learning from Auburn University, and he was once a Machine Learning Engineer at Red Hat. You can learn more about him on his website.

Open Minded Emerging Contributor Award 2018 Author Contributor Club

Authored Content

10 open source tools for your sysadmin toolbox

An introduction to machine-learned ranking in Apache Solr

Learn how to train a machine learning model to rank documents retrieved in the Solr enterprise search platform.

Colorful deployments: An introduction to blue-green, canary, and rolling deployments

Using machine learning to name colors

Word embeddings allow a neural network model to learn some pretty interesting relationships between colors and language.

Coaching football with AI

Can combining artificial intelligence, advanced statistics, and player data into a gridiron Q-learning algorithm result in better play calls?

How to become a data scientist

Data scientists are in high demand. This guide tells you what you need to know for a career in data science—and how to learn it.

How to do open research: 5 basic principles

An introduction to representation learning

Representation learning has emerged as a way to extract features from unlabeled data by training a neural network on a secondary, supervised learning task.

Authored Comments

malcorn

18 Sep 2017

Coaching football with AI

Not this model specifically, but machine learning is pretty commonly used by fantasy football participants (see, e.g., https://www.reddit.com/r/fantasyfootball/comments/50nfjp/machine_learni…).