This class was created by Brainscape user Linda Caro. Visit their profile to learn more about the creator.
By:
Linda Caro
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Decks in this class (13)
! Session 1 & 2: Intro
Algorithm set of procedures that ...,
Model a fitted algorithm that has...,
Parameters internal variables wit...
31
cards
! Session 2: Pre-Processing & EDA
Cleaning examples,
Methods to changing categorical o...,
One hot encoding
17
cards
! Supervised Learning: Regression
Regression,
Regression tasks,
Linear regression goal
15
cards
! S7: Outlier Detection, Feature Selection & Recommender System
Outlier definition,
Outlier issue,
Outlier causes
34
cards
! Hypothesis Testing
Hypothesis space,
Hypothesis,
Null hypothesis h0
15
cards
! S8: Under- & Oversampling
Sampling statistical process wher...,
Undersampling,
Multiple ways of handling unbalan...
9
cards
! S9: Gradient Descent
Gradient descent definition,
Gradient descent steps,
Gradient descent learning rate
29
cards
! S 11: Distributed Deep Learning
Deep learning frameworks,
Deep learning frameworks steps,
Deep learning frameworks model tr...
9
cards
! 12: Adversial Examples
Adversarial examples,
Adversial examples goal,
Poisoning
13
cards
! S10 & 14: Backpropagation, Hyperparameters & Learning Rate
Backpropagation,
Backpropagation con,
Faster ways to optimizers
21
cards
! S15: Ethical Issues
Ethical issues ai,
High risk ai systems according to...,
Ai stakeholder
8
cards
Project
Usp of our paper,
Importance,
Business case
45
cards
Previous Questions
What is a pooling layer what does...,
Would be good practice after ever...,
For neural network against overfi...
16
cards
More about
ML
- Class purpose General learning
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