If your problems aren't audio / image based, then consider using traditional ML instead.
If you are just starting out. Check out SKLearn, Scipy and graphical models like CRFs. They are tried in tested methods that also require less specialized skills.
As someone else said, a lot of AI, ML tools are simply repackaged old school OR methods. The older methods get 95% there, with <50% of the effort.
Cutting edge ML isn't required for most problems. Especially non visual or time series problems.
Comments
If your problems aren't audio / image based, then consider using traditional ML instead.
If you are just starting out. Check out SKLearn, Scipy and graphical models like CRFs. They are tried in tested methods that also require less specialized skills.
As someone else said, a lot of AI, ML tools are simply repackaged old school OR methods. The older methods get 95% there, with <50% of the effort.
Cutting edge ML isn't required for most problems. Especially non visual or time series problems.