This class was created by Brainscape user Ethan Wragg. Visit their profile to learn more about the creator.
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Ethan Wragg
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Decks in this class (11)
Week 1 Probabilities and Interpretations
Define the two types of data,
Define the two types of quantitat...,
What is the first step for data v...
29
cards
Week 2 Probability Distributions
Define intersection and union,
What is bayes theorem,
What is the bayes theorem equatio...
20
cards
Week 3 Parameter Estimation
What is the law of large numbers,
What does the law of large number...,
What does the central limit theor...
12
cards
Week 4 Maximum Likelihood
What is statistical interference,
What is the likelihood function e...,
What is the maximum a posteriori
10
cards
Week 5 Least Square, Chi-Squared, Correlation
What are the two ways to calculat...,
What does the prior probability f...,
What are prior probabilities used...
10
cards
Week 6 Monte Carlo Basics
How are measurements typically re...,
Define the two types of error,
What are monte carlo methods
18
cards
Week 7 Goodness of fit tests
What is the most widely used good...,
What is the probability distribut...,
What is one possible interpretati...
11
cards
Week 8 Hypothesis Testing
What 3 things are needed to condu...,
What is a simple hypothesis,
What is a composite hypothesis
10
cards
Week 9 Probability and Confidence Level
What is the subjective probabilit...,
What interpretation can be made f...,
What can be done if we want to kn...
7
cards
Week 10 Limit setting
What is construction of confidenc...,
What is the coverage equation for...,
What are 3 different types of cov...
6
cards
Week 11 Introduction to Multivariate Analysis
What assess the performance of a ...,
What are the 3 types of learning,
Define machine learning
12
cards
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Y1S1 Data Science
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