Download Machine Learning Cheat Sheet PDF Free - Full Version
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About Machine Learning Cheat Sheet
The document provides an overview of linear regression concepts including: 1. Simple linear regression uses an equation of y=mx+b to model the relationship between a single feature (x) and the target (y). Gradient descent is used to minimize the mean squared error cost function and learn the optimal m (weight) and b (bias) values. 2. Multivariable linear regression extends this to multiple features using an equation of f(x,y,z)=w1x + w2y + w3z. Matrices can be used to simplify the calculations. 3. Training a linear regression model involves iteratively calculating the gradient of the cost function using partial derivatives, then updating the weight
Detailed Information
| Author: | ['pandero loco'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 211 |
| Language: | English |
| Format: | |
| Price: | FREE |
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