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Fall DSC 40A

This class was created by Brainscape user Jacquelyn Garcia. Visit their profile to learn more about the creator.

By: Jacquelyn Garcia
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Decks in this class (17)

Lecture 1
What is machine learning about,
What is a model
2  cards
Lecture 2
What is x,
What is y,
What do we use x for
46  cards
Lecture 3
What is the equation for absolute...,
What is the simplified absolute l...,
When we use absolute loss what is h
14  cards
Lecture 4
What happens if we have outliers ...,
What happens if we have outliers ...,
What are the mean and median rela...
9  cards
Lecture 5
What is the corresponding empiric...,
If y_1 y_2 y_n are all unique wha...,
How many parameters does does the...
18  cards
Lecture 6
What is the derivative of r_sq w_...,
What is w_0,
What is w_1
11  cards
Lecture 7
What will we need to build regres...,
What is r,
What does r measure
15  cards
Lecture 8
What is the equation for the corr...,
What is r_sq w_0 w_1,
What do we often use to compare t...
20  cards
Lecture 9
How can the dot product of two ve...,
What is cos 90 equal to,
If the angle between two vectors ...
14  cards
Lecture 10
What is an n x d matrix,
How do we denote matrices,
How do we say write a matrix a th...
26  cards
Lecture 11
What is the observation vector,
What is the hypothesis vector,
What is the error vector
23  cards
Lecture 12
What is linear regression with mu...,
How many dimensions do we need to...,
How would we find the prediction ...
15  cards
Lecture 13
What does it mean if our equation...,
What is feature engineering,
What will feature engineering be ...
7  cards
Lecture 14
Give an example of a hypothesis f...,
What is gradient descent
2  cards
Lecture 15
What can we tell about our gradie...,
How to we get to the minimum when...,
What
16  cards
Lecture 16
0  cards
Final Exam Prep
What is slr,
What is the equation for simple l...,
What is the equation for the cons...
174  cards

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Fall DSC 40A

  • Class purpose General learning

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