32 min listen
![LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun]](https://imgv2-2-f.scribdassets.com/img/audiobook/418993215/198x198/7c881a3821/1584668455?v=1)
LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun]
LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun]
ratings:
Length:
29 minutes
Released:
Aug 25, 2015
Format:
Podcast 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.comand follow us on twitter: @lm101talk
"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.comand follow us on twitter: @lm101talk
Released:
Aug 25, 2015
Format:
Podcast episode
Titles in the series (85)
LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test): Episode Summary: This episode we discuss the Turing Test for Artificial Intelligence which is designed to determine if the behavior of a computer is indistinguishable from the behavior of a thinking human being. The chatbot A.L.I.C.E. by Learning Machines 101