( Jason Brown )
Read Millionaire Fastlane
I've Read UNSCRIPTED
- May 29, 2013
I'd suggest you take a couple courses on uDemy to get up to speed. That's not a crack at you, but this can get complex quickly with the lingo and thought processes. Again, not a crack but unless you have a good footing in AI it will be hard to wrap your head around it.Awesome thread.
Could you expand on this?
I know that deep learning is the new hotness these days. Besides a little tinkering in TensorFlow's Python libraries, I've got no real idea what's going on in this space. (And that was enough to let me know real quick that I was out of my league in trying to do anything serious with AI for business applications.)
What kind of options are we looking at here? Are there any good off-the-shelf packages? Or is this a case where it's better to go hire a PhD in machine learning to whip up a custom solution?
If you can take a few courses ( I'd suggest a min of at least 3-4 ), it would be a lot clearer.
There are many lib. for these things. A lot in Python. Several in others. However if you jump into the code without a proper foundation, you will get lost real quick and possibly produce outcomes that aren't valid or comprehensive.
I wouldn't hire someone to code a custom solution. In your shoes I might hire someone to help me with the basics after you do some courses to make sure it's set up right and you get any further questions answered. After that, Id run test code on small samples before jumping into bigger sets.
There are also a lot of 3rd party SaaS solutions too. BigML, Amazon, Bing... many others too where you just pipe in a API or submit a dataset to them and plugin in some variables and such. Again, you would need a good foundation first from a course or 3.
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