In the AI era everything is data and every kind of data can be processed and analyzed to produce a generalized model of its inner relationships. It really doesn’t matter if it’s text, picture, sound, sensor readings, video… there are machine learning and deep learning models able to handle the vast majority of data types.
Because of the rapid progress of machine learning over the last few years, expectations of what it can achieve are often not in line with reality. It’s still a relatively immature technology that doesn’t just work ‘out of the box’. Every model is unique, and must be trained, which involves a lot of experimentation.
When I told a fellow developer I was writing an article about the applications of Python, he told me: `It would be easier to list areas where Python doesn't apply`. I can't disagree with that. Python is used so widely nowadays, you can find it almost everywhere and that makes it a really convenient language to learn.
