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Stats and ML

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

By: Unknown Unknown
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Decks in this class (20)

Topic 2
Law of large numbers 1,
Disjoint outcomes 2,
Sample space 3
10  cards
Topic 3
Sampling 1,
Random variable 2,
Discrete random variable 3
11  cards
Topic 4
Exploratory data analysis eda 1,
Categorical variables 2,
Ordinal variables 3
14  cards
Topic 5
Z score 1,
Percentile 2,
Cutoff points 3
5  cards
Topic 6
Bernoulli random variable 1,
Probability of success for a bern...,
Bernoulli variance 3
8  cards
Topic 7
Point estimation 1,
Interval estimation 2,
Central limit theorem 3
9  cards
Topic 8
P value 1,
Significance level 2,
High p value 3
7  cards
Topic 9
T distribution 1,
Confidence interval for t distrib...,
T score 3
5  cards
Topic 10
Randomisation tests 1,
P value for randomisations tests 2
2  cards
Topic 11
Correlation 1,
Pearson correlation coefficient 2,
Correlation coefficient randomisa...
3  cards
Topic 12
Machine learning t p e 1,
Supervised learning 2,
Unsupervised learning 3
14  cards
Topic 13
Multiple regression 1,
Factor 2,
Reference level 3
9  cards
Topic 14
P x in logistic regression for bi...,
Logisitic equation for binary cla...,
Decision boundary in logisitic re...
3  cards
Topic 15
Probability that a test item x0 b...,
Probability k nearest neighbour e...
2  cards
Topic 16
Crossvalidation 1,
Why not use test data to choose k 2,
Bias and variance depending on th...
3  cards
Topic 17
Bayes theorem 1,
Product rule for independent even...,
Conditional probability 3
11  cards
Topic 18
How to best choose which features...,
Entropy 2,
Expected entropy over a child node 3
7  cards
Topic 19
Decision trees bias and variance 1,
Pre pruning 2,
Post pruning 3
8  cards
Topic 20
Confusion matrix 1,
Precision 2,
Recall sensitivity 3
9  cards
Topic 21
Cluster analysis 1,
Centre based cluster 2,
Centroid medoid 3
11  cards

More about
Stats and ML

  • Class purpose General learning

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