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[Discussion] Is it possible to learn ML “old” and with little experience?

I am 37 years old and I have always been interested in technology in general, mainly related to computing. In 2005/2006 I was studying Python in a self-taught mode with 23/24 years old.

Due to the situations that life imposes, I do not work with technology currently (work in the judiciary of Brazil), although I have never stopped reading and inform myself at least a little at all times.

Last year I bought a collection of books by various authors about Python and artificial intelligence (neural networks, deep learning, genetic algorithms, etc.), but I have not started yet, but I’ll probably start from the middle of the year onwards.

I believe that in order to study AI and feel motivated to learn we must have some objective in mind, to study by studying, just out of curiosity, I think that in most cases it can lead to disinterest over time, especially if the subject becomes increasingly complex .

In this way, I have an area of interest in applying any knowledge of AI: Blender 3D. Yes, free software that allows 3D modeling, animation, etc. of Blender foundation. I have been practicing Blender since 2009 so I know a lot about the tool and look forward to the release of version 2.8 that will happen in July.

I imagine some kind of application where you talk about objects, for example, AI understands what you want and produces that object, for example, a dog, after studying deep dog images and comparisons with previously made 3D models.

Telling this story, the big question is, since being around 40 years old, would it be a waste of time to study the subject and focus on other things, letting the new generations create things?

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.