I'm excited to share something I've been working on for a while—https://t.co/sA7z9k0opo!
It collects the tacit, tribal, ghost knowledge on how to apply machine learning from papers, guides, and inte
The author expresses excitement about a new project that compiles knowledge on applying machine learning from various sources. It aims to bridge the gap in understanding practical applications.
Red Flags to Look Out for When Joining a Data Team
A guide about warning signs to watch for when joining a data team, written by an experienced ML/AI leader who has worked at major tech companies.
career advicedata teams
Eugene Yan's Post
The post provides a brief overview of Eugene Yan's professional background in ML/AI leadership.
profileml leadership
Eugene Yan
Eugene Yan is a Senior Applied Scientist at Amazon, specializing in the design and operation of machine learning systems for customer service.
machine learningamazon
How to Interview and Hire ML/AI Engineers
The post discusses strategies for interviewing and hiring ML/AI engineers, focusing on calibration and assessment techniques.
interviewingml engineers
News & Blog | Solutions for Machine Learning
This post highlights a paper by Eugene Yan that outlines the evaluation criteria for large language models, focusing on the significance of helpfulness and factuality in assessments. It aims to provide insights into effective machine learning solutions.
