This class was created by Brainscape user Jason Swift. Visit their profile to learn more about the creator.
By:
Jason Swift
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Decks in this class (23)
L1 - Data Characteristics
5 V's
Types of data
10
cards
Data Integration, Learning from data, Supervised Learning
Define data integration,
What are the 5 main ways of integ...,
For each type of data integration...
28
cards
Linear Regression
Why is it called linear regression,
What is the least squares method,
Define simple linear regression
5
cards
L3 - Least Squares Method
Give the simple linear regression...,
What is the formula for the y int...,
What is the formula for the slope...
20
cards
L4 - Other Regression Models, Data Splits, Comparing Models
How can we improve on the simple ...,
When using polynomial regression ...,
What is the order of polynomial
15
cards
L5 - Regression - Bias-Variance Trade Off
Define bias,
Define variance,
What is the ideal bias variance t...
18
cards
L5 - Regression - Model Complexity
What is the relationship between ...,
What happens if the regression mo...,
What is cross validation
6
cards
L6 - Preprocessing ( Cleaning, Transformation, Visualisation )
What are the 3 issues that requir...,
What are data anomalies,
What are the 3 types of missing v...
17
cards
L7 - Classifiers, Perceptrons, MLP
What is the difference between li...,
In image classification what trai...,
What type of learning is classifi...
19
cards
L8 - Gradient Descent and Classifier Performance
1 what is fitting a model,
2 in classification what are 2 su...,
3 through what process can we imp...
24
cards
L9 - Computer Vision and CNN
1 what is the aim of computer vision,
2 what is a naive approach to usi...,
3 what are the issues of stacking...
13
cards
L10 - CNN’s 2
1 what is a feature map,
2 what is the relu function what ...,
3 how does the relu activation fu...
19
cards
L11 - Unsupervised Learning
1 what is the goal of unsupervise...,
2 give some examples of objective...,
3 unsupervised learning is used f...
10
cards
L12 - Dimensionality Reduction
What is meant by dimensionality r...,
What 3 ways does dimensionality r...,
What are the 2 methods of dimensi...
21
cards
L13 - Hierarchical Structuring and DBSCAN
What is hierarchical clustering,
What is the structure of hierarch...,
What are dendrograms
19
cards
L14 - K Means, GMM, Clustering Measures
Hierarchical clustering is a dete...,
What is the issue with hierarchic...,
What are partition clustering met...
16
cards
L15 - NLP
Define bayesian,
What is nlp,
Give some examples of how nlp is ...
19
cards
L15 - TF-IDF Approach
1 what does tf idf stand for,
2 how do we calculate the score i...,
3 what is the purpose of tf idf
5
cards
L16 - Word Embedding
What issue does word embedding solve,
Give a high level explanation of ...,
Give the step by step process of ...
10
cards
L16 - Topic Modelling
What field of ai does topic model...,
What type of modelling approach i...,
Give a high level explanation of ...
12
cards
L17 - KNN and Weighted-KNN
What type of model is knn,
What core assumption does the mod...,
What is the majority vote concept...
15
cards
L18 - Support Vector Machine
What type of model is a svm,
What is the goal of svm,
In a feature space what do the di...
20
cards
L19 - Classification Trees
What is a decision tree,
What are the 2 common subtrees of...,
What is the goal of a classificat...
14
cards
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learning from data
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