Learn Bayesian
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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 -
2042 DYLAN
2042 DYLAN
By: Dylan Hebden
mandelian inheritance, extension to mandelian inheritance, genetic counselling and linkage ...11Decks384Flashcards1Learner -
2021 - Game Theory
2021 - Game Theory
By: Ethan Adams
Week 1, Week 2, Week 3/4 - Collective Action Games ...8Decks140Flashcards4Learners -
Philosophy of Science for Cognitive Neuroscience
Philosophy of Science for Cognitive Neuroscience
By: Diego Alonso Huerta
Bayesian Statistics Basics, Bayesian Model and Hypothesis Testing, Base Factor and Model Comparison ...23Decks46Flashcards2Learners -
Machine Learning
Machine Learning
By: Rasmus Villadsen
Kursusgang 1 (Introduction), Kursusgang 2+3 (Bayesian decision theory) + (Parametric and nonparametric methods), Kursusgang 4 (Dimensionality reduction) ...13Decks181Flashcards8Learners -
PSYC4050: Research Methodology IV
PSYC4050: Research Methodology IV
By: Michello Condollini
Lecture 2: Missing Data (Alt 2), Lecture 3: Regression Assumptions Alt 2, Lecture 4: Exploratory Factor Analysis (Alternate) ...25Decks398Flashcards2Learners -
CAP
CAP
By: Chris Huskey
CAP Data, CAP Probability and Statistics, CAP Simulation ...10Decks229Flashcards4Learners -
TEK5040
TEK5040
By: Vemund Schøyen
Supervised learning and Convolutional Networks, Recurrent Networks, Networks with memory and attention ...13Decks119Flashcards14Learners -
Intelligenza Artificiale
Intelligenza Artificiale
By: Unknown Unknown
Conoscenza incerta & Ragionamento, Ragionamento Probabilistico, Inferenza approssimata / Reti bayesiane ...20Decks149Flashcards2Learners -
Advanced Applied Exam
Advanced Applied Exam
By: Regitze Sydendal
Topic 1: Bayesian inference, Topic 2: Maximum-likelihood estimation, exponential families and generalised linear models, Topic 3: Survival analysis and expectation-maximisation ...8Decks91Flashcards6Learners -
Risk Management
Risk Management
By: Robert Fleming
Probability Models, Fault and Event Tree Analysis, Common Cause Failures ...10Decks158Flashcards4Learners -
AI
AI
By: Alessandro Viespoli
Agents, Stable Matching, Search ...8Decks103Flashcards2Learners -
RMS
RMS
By: Beatriz Oliveira da Silva
ANOVA, Non-parametric, Regression ...6Decks89Flashcards1Learner -
NEUR3002
NEUR3002
By: Imy Masters
the thinking brain, the stressed brain, the injured brain ...12Decks153Flashcards5Learners -
Machine Learning
Machine Learning
By: Laura Ellicott
Supervised Learning, Logistic Regression, Likelihood ...17Decks185Flashcards2Learners -
STAT0005
STAT0005
By: Timothee Maurin
Chapter 1 Info, Chapter 4 Distributions of functions of normally distributed variables, Chapter 6 Bayesian Methods ...6Decks116Flashcards1Learner -
MSI Unit I
MSI Unit I
By: Kyle Plante
1-1 Medical Microbiology, 1-3 Bacterial Structure, 1-9 Antibody Structure and Function ...52Decks1,636Flashcards10Learners -
Advanced Data and Stats
Advanced Data and Stats
By: Hanna <3
Clinical Trials, Relationships between variables 1 - Logistic Regression, Principal component analysis ...9Decks163Flashcards1Learner -
Research methods
Research methods
By: Rose Campbell
PCA, Reliability and validity, Logistic regression ...12Decks178Flashcards1Learner -
Unit 1 - Molecular and Cellular Principles of Medicine
Unit 1 - Molecular and Cellular Principles of Medicine
By: E P
Lecture 2 - Genetics, Organelles, Lecture 3 - Introduction to Nucleic Acids ...23Decks451Flashcards3Learners -
Advanced AI
Advanced AI
By: Josh Davidson
Week 2 - Search with A* & MCTS, 3 - Neural Net for modern AI, 3 - Backpropagation in computation graphs ...18Decks310Flashcards1Learner -
Statistikk 2
Statistikk 2
By: William Leander Kvie
Random variables and probability distributions, Probability distributions - (3-4), Extreme variables ...9Decks60Flashcards1Learner -
Data Science
Data Science
By: Alex Rosa
7. Big Data - Hadoop Ecosystem, 3. Programming - R Language, 2. Math & Statistics - Exploratory Data Analysis ...25Decks139Flashcards192Learners -
MCP I
MCP I
By: Kristine Faulknham
Unit II- Nuclear Structure and Function, Unit II- Mendelian Patterns of Inheritance, Unit II- Protein Building Blocks ...24Decks635Flashcards2Learners -
AJ Deep Learning
AJ Deep Learning
By: Ajay Chinta
CNN, Object Detection, Sequence Models - NLPs ...8Decks47Flashcards3Learners -
Econometrics
Econometrics
By: César Garro
Chapter 2, Chapter 3 ML estimation, Stochastic processes ...8Decks60Flashcards3Learners -
research methods and analysis
research methods and analysis
By: Sophie Kinsella
Lecture 11 - Significance and Power, Lecture 12 - ANOVA 1, Lecture 13 - ANOVA 2 ...9Decks158Flashcards1Learner -
GKI (IN2062)
GKI (IN2062)
By: Lukas A
1 - Intelligent Agents, 2 - Uninformed Search, 3 - Informed Search ...13Decks220Flashcards1Learner -
PhD Viva
PhD Viva
By: Catherine Holland
General & Conceptual, Compositional Data, Bayesian ...11Decks146Flashcards1Learner -
Decision Making
Decision Making
By: Courtney Lowe
Decision Making, Utility Theory, Bayesian Decision Theory ...8Decks112Flashcards2Learners