A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://github.com/hangtwenty/dive-into-machine-learning/issues/11 below:

Need advice about how to evaluate your proficiency · Issue #11 · dive-into-machine-learning/dive-into-machine-learning · GitHub

Please don't sell yourself as a Machine Learning expert while you're still in the Danger Zone. Don't build bad products or publish junk science. This guide can't tell you how you'll know you've "made it" into Machine Learning competence ... let alone expertise. It's hard to evaluate proficiency without schools or other institutions. This is a common problem for self-taught people. Your best bet may be: expert peers.

If you know a good way to evaluate Machine Learning proficiency, please submit a Pull Request to share it with us.

Need to tell people how they know they're out of the Danger Zone or how they know they are hire-able.


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4