Understanding AI and ML, using them
note about data science
I'm not that into AI, ML and Data Science as a fad mixture (or as a job I'll do someday).
But I've kept data-science as a separate node - since it's less disciplined (theoretical) and more about using common math + programming techniques to "make impact"
- I want to use AI, ML for building stuff autonomously. To be very frank, to build systems that can directly help individuals.
- From a learning POV, I just want to learn enough so I understand the essence and day-to-day project dynamics of a system that uses AI and ML. In other words, I can at least see/check work others are doing, and measure progress objectively.