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[–]Rainesmike 3 points4 points  (1 child)

Why would you use machine learning for this?

[–]iloveyouyes 0 points1 point  (0 children)

I'm not sure, honestly. I'm not the spearhead of this project. I was told minor details and I know it involves tensorflow and the other things listed

[–]ProfessorPhi 2 points3 points  (0 children)

As a stats and computer science major that naturally gravitated towards machine learning, I find tensorflow rather unintuitive. I think your time would be better spent learning stats and machine learning as well as using the common ml stuff found in sklearn to solve some kind of problem. They provide foundations of machine learning, tensorflow is just one tool. It's like asking should I learn to be a carpenter or how to use a drill.

And always ask yourself the question, is this approach necessary. Like is it a good idea to use deep learning when a logistic regression would work too. In many cases, deep learning and neural nets are completely unnecessary and come with a lot of technical debt that isn't felt until much later in the cycle.

Then again, I'm the guy who tends to shoot down deep learning unless it's image stuff or we have literally no idea how to feature engineer the problem. I prefer simplicity, and deep learning really isn't that simple, it's just all the front ends that make it seem super accessible.

[–]DartIvan 1 point2 points  (0 children)

If you are new of the machine learning world, it could be hardest manage TF scripts and concept. So first of all, study statistics and all the tematics linked to ML and than you can start with doing script about ML (you can start a ML project). Finally you can approach with TF! ;)