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I am an electrical engineer interested in Machine Learning applications. So far, based on the myriad of literature I have read about Machine Learning stuff, a
by kumarvvr 8y ago
I am an electrical engineer interested in Machine Learning applications.
So far, based on the myriad of literature I have read about Machine Learning stuff, a lot of results and their quality depends on the type of network, training, error correction methods, etc.
Say I learn how to make computers build and train models, but is that enough to get good results? Are there any resources that will guide me into choosing a good topology or Network parameters (say like number of hidden layers, etc)
How do developers who use Machine Learning in production environments confidently come to a particular network topology/parameter set for a given class of problem?
- thewizardofaus 8y agoML is slowly approaching the blockchain bubble I think. You have ALOT of people just chucking random bs data into insert popular model and hoping for the best.
- charlysl 8y agoDo Caltech's free online course "Learning from data" to learn ML in a principled way. You will get the answers to all those questions and then some. You basically need to learn some basic theory and concepts (linear models, non linear transformations, vc dimension, learning curves, regularization, validation, etc) much more than tools first to deal with those questions. The professor in the video lectures is excellent