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Psych4050: Research Methodology original cards
Psych4050: Research Methodology original cards
By: Michello Condollini
Lecture 2: Missing Data (Alternate), Lecture 3: Regression Assumptions, Lecture 5: Confirmatory Factor Analysis...15Decks500Flashcards1Learner -
KCL Elements of Statistical Learning
KCL Elements of Statistical Learning
By: tyrion lannister
Week 2 (MLE, MAP, Bayesian Curve, Entropy), Week 5 (GMM), Week 6 ( (Fishers/)Linear Discriminant)...8Decks116Flashcards1Learner -
advanced machine learning
advanced machine learning
By: Kiara Shivani
lecture 1 - matrix algebra, lecture 1 - normal distribution, lecture 2 - linear models...8Decks577Flashcards1Learner -
Interim 4
Interim 4
By: Lauranne Kloos
Agresti chapter 3, Agresti chapter 12, Agresti chapter 14...5Decks34Flashcards1Learner -
Machine Learning
Machine Learning
By: Unknown Unknown
Lecture 9 - Bayesian inference: approximation & sampling, Lecture 10 - Clustering: K-Means, Lecture 11 - Clustering: EM Algorithm for GMM...10Decks155Flashcards1Learner -
statistics
statistics
By: Lasse Alsbirk
Introduction, Parametric models, Bayesian inference...11Decks124Flashcards1Learner -
Artificial intelligence
Artificial intelligence
By: Klara :D
2 - agents, 3 - uninformed search, 4 - informed search...10Decks78Flashcards5Learners -
STA3030F
STA3030F
By: Mbongeni Sibanda
Generalized Linear Models, Bayesian Inference & Decision Theory, Machine Learning...4Decks140Flashcards8Learners -
Research Methods and Stats 4
Research Methods and Stats 4
By: Hannah Bricklebank
1. Thematic Analysis, 2. Grounded Theory, Interpretative Phenomenological Analysis...10Decks141Flashcards1Learner -
PhD Viva
PhD Viva
By: Catherine Holland
General & Conceptual, Compositional Data, Bayesian...11Decks152Flashcards1Learner -
ETC2560
ETC2560
By: Cindy Patricia
exploratory data analysis (week 1-2), Linear regression (week 3-5), Generalised Linear Model (week 6-8)...4Decks146Flashcards1Learner -
Statistical Concepts - Epiphany
Statistical Concepts - Epiphany
By: Hollie Pilkington
Distribution Theory, Comparing two samples, Bayesian Statistics...4Decks158Flashcards3Learners -
MATH2715 Statistical Methods
MATH2715 Statistical Methods
By: Sophie Wilkinson
1. Probability, 2. Random Variables, 3. Joint Distributions...10Decks184Flashcards20Learners -
Statistics for Machine Learning
Statistics for Machine Learning
By: Ozzy Campos
1. Fundamentals of Probability, 2. Probability Distributions, 3. Descriptive Statistics...9Decks893Flashcards2Learners -
Econometrics 2 - Phd
Econometrics 2 - Phd
By: Christian Lundqvist
Shift-share IV, DiD & Synthetic Controls, Clustering and bootstrap...6Decks107Flashcards1Learner -
Algorithms For Machine Learning And Inference
Algorithms For Machine Learning And Inference
By: Rasmus Johansson
Linear Modeling and Regression, Probabilistic Linear Regression, Bayesian linear regression...15Decks434Flashcards3Learners -
BMS2042
BMS2042
By: Chiara Piazzese
TOPIC 1: MENDEL AND EXTENSIONS TO MENDEL, WEEK 4, WEEK 3: LINKAGE, RECOMB, AND GENETIC MAPPING...11Decks783Flashcards13Learners -
Probability for ML
Probability for ML
By: Mahsa Zamanifard
Chapter 4 Joint, Marginal, and Conditional Probability, Chapter 7 Probability Distributions, Chapter 8 Discrete Probability Distributions...21Decks287Flashcards21Learners -
STAT20180
STAT20180
By: Sarah Oliver
Chapter 1 : Probability recap, Chapter 2 Bayesian Inference, Chapter 3 Monte Carlo Approximation...5Decks104Flashcards1Learner -
365 Data Science - Probability
365 Data Science - Probability
By: R W
1. The Basics of Probability, Combinatorics, Bayesian Inference...6Decks222Flashcards3Learners -
Scientific and Statistical Reasoning 2
Scientific and Statistical Reasoning 2
By: Megan H
Lecture 10: ANOVA: F distribution and one way independent, Lecture 11 Critical thinking about psychological research, Lecture 16: Chi-square t4est...11Decks588Flashcards1Learner -
research methods year 1 set 2
research methods year 1 set 2
By: georgie kafton
Significance and power, ANOVA (between groups), ANOVA (within-subjects)...9Decks139Flashcards2Learners -
STATS Lectures Flashcards
STATS Lectures Flashcards
By: Sterre Van Driesten
Lecture 10: ANOVA, Lecture 12: ANCOVA, Lecture 13: Factorial ANOVA...7Decks83Flashcards1Learner -
DAPS
DAPS
By: Joanna Li
Random Variables and Distributions, Estimation and hypothesis testing, Linear Regression...5Decks90Flashcards1Learner -
Machine Learning Engineering
Machine Learning Engineering
By: Sander Moonemans
Linear Models, Kernelization, Data Preprocessing...4Decks45Flashcards4Learners -
Data Science & Big Data Analytics
Data Science & Big Data Analytics
By: Tom Burgoyne
01. Introduction to Big Data Analytics, 12. The Endgame, or Putting It All Together, 11. SQL Essentials & Advanced...14Decks231Flashcards42Learners -
AQM
AQM
By: Micia Sanghera
Psychological model fitting, SEM- structural equation modelling, Logistic regression...5Decks131Flashcards4Learners -
Statistics
Statistics
By: César Garro
Distributions, Bayesian estimation, Test of hypothesis and confidence intervals...7Decks79Flashcards5Learners -
Interim Exam 4
Interim Exam 4
By: oisin mcelwain
Cognitive: Motor control and Action, Statistics: Analysis of Variance methods, Cognition: Problem solving...12Decks451Flashcards3Learners -
Research methods
Research methods
By: Rose Campbell
PCA, Reliability and validity, Logistic regression...12Decks178Flashcards1Learner