Learn Bayes Theorem
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Probability for ML
Probability for ML
By: Mahsa Zamanifard
287 Cards –21 Decks –10 LearnersSample Decks: Chapter 4 Joint, Marginal, and Conditional Probability, Chapter 7 Probability Distributions, Chapter 8 Discrete Probability DistributionsShow Class -
Bio-statistics for Health Science
Bio-statistics for Health Science
By: Robert B
195 Cards –12 Decks –13 LearnersSample Decks: CH 1 Introduction, CH 2 Exploring Data With Tables and Graphs, CH 3 Describing, Exploring and Comparing DataShow Class -
Statistical Methods
Statistical Methods
By: Federico Giaj
161 Cards –17 Decks –2 LearnersSample Decks: Introduction to Statistics, Summarising and graphing data, Describing DataShow Class -
Prelims - Quantz
Prelims - Quantz
By: Jakub Trybull
277 Cards –32 Decks –8 LearnersSample Decks: P1. Probability Basics, P2. Conditional Probability, P3. Independence and Bayes' RuleShow Class -
Intro a l'interpretation de l'indice scientifique
Intro a l'interpretation de l'indice scientifique
By: Ines Pinton
123 Cards –9 Decks –3 LearnersSample Decks: Cours 2 - Inference, Cours 3 - Premiere reflexion, Cours 4 - Lois des probabilitesShow Class -
CFA L1 Book 1
CFA L1 Book 1
By: Emily Liu
203 Cards –14 Decks –1 LearnerSample Decks: 7.1: Describing Data Sets, 7.2: Means and Variance, 7.3: Skew and KurtosisShow Class -
COMM 214
COMM 214
By: Brad H
286 Cards –19 Decks –2 LearnersSample Decks: Chapter 1: And Introduction to Business Analytics and Statistics, Chapter 1.1, Chapter 1.2: Data Sources, Data Warehousing, and Big DataShow Class -
Statistique
Statistique
By: Marielle Beaulieu
93 Cards –3 Decks –3 LearnersSample Decks: Chapitre 1: Probabilités et Statistiques : Qu'est-ce que c'est ?, Chapitre 2: Introduction à la théorie des probabilités, Chapitre 3: La probabilité conditionnelle et le théorème de BayesShow Class -
COMM 214 (Winter Semester)
COMM 214 (Winter Semester)
By: Brad H
435 Cards –26 Decks –1 LearnerSample Decks: Formulas to remember, 4.1: Probability, Sample Spaces, and Probability models, 4.2: Probability and EventsShow Class -
Statistics Midterm Exam
Statistics Midterm Exam
By: Jann Krystel Jumao-As
79 Cards –6 Decks –1 LearnerSample Decks: Probability Concepts And Rules, Bayes' Theorem on Conditional Probability, Sampling TechniquesShow Class -
Statistics
Statistics
By: yonii Karas
180 Cards –17 Decks –1 LearnerSample Decks: Module 7.1: Describing Data Sets, Module 7.2: Means and Variance, Module 7.3: Skew and KurtosisShow Class -
CFA 1
CFA 1
By: Liam Mckeown
425 Cards –31 Decks –1 LearnerSample Decks: Quantiative Methods - TVM - EAY and Compounding Frequency, Quantitative Methods - TVM - Uneven Cash Flows, Quantitative Methods - TVM - Compounding FrequenciesShow Class -
Decision Analysis
Decision Analysis
By: F KN
217 Cards –22 Decks –1 LearnerSample Decks: Lecture 1: Common Cognitive Bias and Problem Complexity, Lecture 1 (End of Chapter Questions), Lecture 2: Making Decisions with Multiple Objectives under CertaintyShow Class -
PS2023 - Thinking, Emotion and Consciousness
PS2023 - Thinking, Emotion and Consciousness
By: Cara Green
140 Cards –15 Decks –1 LearnerSample Decks: Lecture 1 – Evidence and Judgment, Lecture 2 – Combining Sources of Evidence, Lecture 3: Bayes theorem and human rationalityShow Class -
Probability
Probability
By: Erini Ts.
52 Cards –8 Decks –1 LearnerSample Decks: Useful formulas, Bayes ' Theorem, binomial distributionShow Class -
PS2023 - Thinking, Emotion and Consciousness
PS2023 - Thinking, Emotion and Consciousness
By: Liberty Forbes-Lane
137 Cards –20 Decks –3 LearnersSample Decks: Lecture 1 - Evidence and Judgement, (need to make better cards for this) Lecture 2 - Combining sources of evidence, Lecture 3 - Bayes' Theorem and human rationalityShow Class