by mk89 on 9/16/2022, 6:21:34 AM
One thing that helps is choosing a technology you already know to achieve the learning you desire.
For example, if you want to learn Qt, and you know only C++, don't bother with Python. It will help you focus on the framework 100%. Machine learning, albeit a different beast, can be tackled the same way.
Start small with the things that you can quickly learn and understand and then move to more advanced topics.
Say I want to learn QT Programming, machine learning libraries, etc. I am not aiming for deep understanding at the get go, but I want to get usable output quickly, as I dig deeper.
What tricks have you learned over the years which enable you to get productive in a new framework quickly?