The mission of  the Journal of Machine Learning Gossip (JMLG) is to provide an archival source of important information that is often discussed informally at conferences but is rarely, if ever, written down. It is designed to be open and accessible for all researchers, but with particular emphasis on providing guidance and advice to talented young researchers so that they do not get disheartened when they encounter the egoism, mutual admiration clubs and power games that unfortunately infect much of science.

News

We have added some new pages:

• How to be a book editor
• How to write a reference letter
• How to read a reference letter
• How to create and exploit obligations
• Big Shot Calculator

As well as this compelling new content, we have followed the lead of many leading computing companies and spent considerable effort and time on updating the style of our web-site. We hope that you are as impressed with the site as we are with ourselves.