LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun] - podcast episode cover

LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun]

Aug 25, 201529 minSeason 1Ep. 34
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Episode description

Welcome to the 34th podcast in the podcast series Learning Machines 101 titled

"How to Use Nonlinear Machine Learning Software to Make Predictions".

This particular podcast is a RERUN of Episode 20 and describes step by step how to download free software which can be used to make predictions using a feedforward artificial neural network whose hidden units are radial basis functions. This is essentially a nonlinear regression modeling problem. Check out: www.learningmachines101.com
and follow us on twitter: @lm101talk

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LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun] | Learning Machines 101 podcast - Listen or read transcript on Metacast