From the course: Machine Learning & AI Foundations: Linear Regression
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Comparing regression to Neural Nets - SPSS Tutorial
From the course: Machine Learning & AI Foundations: Linear Regression
Comparing regression to Neural Nets
- [Instructor] Okay let's talk about neural networks, as I'm sure you know neural networks is a really big topic and could certainly deserve an entire course of its own, but our goals right now are more modest, we really just wanna compare and contrast regression with neural networks specifically I wanna give you a glimpse into how regression handles complexity and how neural networks handle complexity. So let's take a quick look using the MWBank with Dummy Code and Interaction Terms data set. So first I'm gonna go into Regression, and I'm gonna go ahead and load this with Beginning Salary, and just three, we'll go with, Sex, Education Level and Work Experience, 'kay, and I'm gonna go ahead and click OK. Here's my Output and I'm gonna scroll down and at the risk of being a bit obvious here, obviously we can count, we put three variables in, so we have three beta coefficients that have been fit, I suppose four, if you count beta zero, but we basically have a formula that would be beta…
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Regression options5m 20s
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Automatic linear modeling6m 37s
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Regression trees6m 19s
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Time series forecasting4m 30s
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Categorical regression with optimal scaling6m 9s
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Comparing regression to Neural Nets4m 31s
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Logistic regression4m 54s
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SEM4m 23s
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