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Math for Machine Learning and LLMs
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Module 2
Functions, Graphs, and Growth You Can See
1
Evaluating Scalar Functions: Variables and Parameters
Evaluate a scalar function for given inputs and distinguish variables from parameters.
2
Creating Input-Output Tables for Simple Functions
Create an input-output table for a simple function.
3
Interpreting Function Graphs: Slopes, Intercepts, and Shape
Interpret the slope, intercepts, and overall shape of a function graph.
4
Modeling Everyday Relationships with Linear Functions
Model an everyday relationship with a linear function and interpret its slope and intercept.
5
Identifying Linear, Quadratic, and Exponential Growth from Graphs
Distinguish linear, quadratic, and exponential growth from their graphs.
6
Logarithms as the Inverse of Exponentiation
Explain a logarithm as the inverse of exponentiation using simple numerical examples.
7
Comparing Linear, Quadratic, and Exponential Growth Using Calculated Values
Compare linear, quadratic, and exponential growth using calculated values.
8
Evaluating and Plotting Functions with NumPy
Evaluate and plot a mathematical function over a NumPy-generated input range.
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Everyday Algebra and Mathematical Language
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Vectors Through Movement and Similarity