Machine Learning The High Bar: Learnings From Working on Amazon Go On Friday, February 7th of 2020, I concluded the Amazon Go episode of my career! Working on such a unique problem space and with a remarkable team of talent has been encouraging of
Machine Learning A Reminder To Review Your Model Outputs, Not Just Metrics This is a lightweight reminder to review both the data going into your models, and the predictions it produces - not just your performance metrics. In recent history I was testing out an
Machine Learning Sleeves Hiding Hands: Making a subreddit powered by machine learning Over the last month I've been working on an ML-powered subreddit called /r/SleevesHidingHands. What started as nothing more than a "what if" idea, turned out to be a great learning experience in
Machine Learning Making Music with Machine Learning This'll be a quick talk over work I'm doing with NSynth and other ML-powered tools to expand my music production possibilities. What's Going On Here? I'm using machine learning to create new instruments
Machine Learning A Search Engine for ML Resources: MLPleaseHelp Last weekend, I launched another open source project for the benefit of machine learning practitioners. Rather than helping you build out your infrastructure like the Parris tool does, this one is a simple
Machine Learning Released Today: Parris, The Automated ML Training Tool. Today marks a momentous occasion - today is the first day of 2018! Here's hoping your celebratory activities were in equal parts memorable and enjoyable. Other than the new year arriving today, today
Machine Learning ML By Redditors, For Redditors: /r/learnmachinelearning Project Proposals and Challenges You notice how it takes me weeks on weeks to get new posts up? That's intentional, as you'll only see posts when I have something substantive to contribute, and I only take the
Machine Learning Follow-Up: Predicting Server Capacity with Linear Regression ML Hey all! Had a little bit of progression the linear regression problem I've been working, and have some insights to share. This post is related to this previous post. What I Tried The
Machine Learning Predicting Server Capacity with Linear Regression ML This is a relatively entry-level project I've worked to practice some machine learning. Octave code repository available on Github here[1], and you'll see some snippets throughout. Update 2017/07/16: This post