Hi all! I lead antispam team and several machine learning teams at Mail.ru Group. The subject of this article is self-development for team leads/managers. But in reality many techniques and recipes do not depend on the role at all. This really concerns me because machine learning is developing extremely fast, and it takes a lot of time to stay up to date. So the question about what should be done for development and how is quite topical.
Of course, the content of this article is not the ultimate truth but just a description of the results of my continuing quest. It tells about approaches based on books and workshops, trials and errors, which have worked for me. It'll be good to have a discussion with you in comments.
Talking to people at conferences and in comments to articles, we face the following objection: static analysis reduces the time to detect errors, but takes up programmers' time, which negates the benefits of using it and even slows down the development process. Let's get this objection straightened out and try to show that it's groundless.
