This class was created by Brainscape user Mahsa Zamanifard. Visit their profile to learn more about the creator.
Flashcard maker:
Mahsa Zamanifard
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Decks in this class (13)
Chapter 4 Parametric and Nonparametric Machine Learning Algorithms
No deck description has yet been added by the author.
6
cards
Chapter 5 Supervised, Unsupervised and Semi-Supervised Learning
No deck description has yet been added by the author.
4
cards
Chapter 6 The Bias-Variance Trade-Off
No deck description has yet been added by the author.
3
cards
Chapter 7 Overfitting and Underfitting: The cause of poor performance
No deck description has yet been added by the author.
1
cards
Chapter 9 Gradient Descent For Machine Learning
No deck description has yet been added by the author.
3
cards
Chapter 10 Linear Regression
No deck description has yet been added by the author.
1
cards
Chapter 13 Logistic Regression
No deck description has yet been added by the author.
3
cards
Chapter 15 Linear Discriminant Analysis
No deck description has yet been added by the author.
9
cards
Chapter 17 Classification and Regression Trees
No deck description has yet been added by the author.
2
cards
Chapter 19 Naive Bayes
No deck description has yet been added by the author.
5
cards
Chapter 22 k-Nearest Neighbors
No deck description has yet been added by the author.
8
cards
Chapter 28 Bagging and Random Forest
No deck description has yet been added by the author.
10
cards
Chapter 30 Boosting and AdaBoost
No deck description has yet been added by the author.
7
cards
More about Learning Algorithms
- Class purpose General learning
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