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Results for "interpretable+and+explainable+models"
Status: FreeGoogle Cloud
University of Michigan
Skills you'll gain: Critical Thinking
Stanford University
Skills you'll gain: Bayesian Network, Probability & Statistics, General Statistics, Graph Theory, Probability Distribution, Bayesian Statistics, Markov Model, Correlation And Dependence, Machine Learning, Network Model, Decision Making, Human Learning, Algorithms
Johns Hopkins University
Skills you'll gain: Correlation And Dependence, General Statistics, Probability & Statistics, R Programming, Regression, Statistical Analysis, Statistical Programming, Data Analysis, Data Model, Problem Solving
Google Cloud
Skills you'll gain: Machine Learning
Stanford University
Skills you'll gain: Bayesian Network, Probability & Statistics, Probability Distribution, General Statistics, Graph Theory, Bayesian Statistics, Correlation And Dependence, Markov Model, Network Model, Decision Making
DeepLearning.AI
Skills you'll gain: Feature Engineering
Johns Hopkins University
Skills you'll gain: Mathematics, Calculus, Algebra, Mathematical Theory & Analysis, Differential Equations, Problem Solving, Linear Algebra
Johns Hopkins University
Skills you'll gain: Mathematics, Algebra, Problem Solving, Calculus, Critical Thinking, Mathematical Theory & Analysis, Linear Algebra, Plot (Graphics), Applied Mathematics, Data Model, Regression, Angular, Geometry, Data Analysis, Graph Theory
Stanford University
Skills you'll gain: Bayesian Network, General Statistics, Probability & Statistics, Graph Theory, Bayesian Statistics, Markov Model
Status: FreeStanford University
Skills you'll gain: Network Analysis, Probability Distribution, Network Architecture, Mathematical Theory & Analysis, Statistical Analysis
Coursera Project Network
Skills you'll gain: Storytelling
In summary, here are 10 of our most popular interpretable+and+explainable+models courses
- Transformer Models and BERT Model:Â Google Cloud
- Model Thinking:Â University of Michigan
- Probabilistic Graphical Models:Â Stanford University
- Regression Models:Â Johns Hopkins University
- Introduction to Large Language Models:Â Google Cloud
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Data Modeling, Transformation, and Serving:Â DeepLearning.AI
- Differential Calculus through Data and Modeling:Â Johns Hopkins University
- Precalculus through Data and Modelling:Â Johns Hopkins University
- Probabilistic Graphical Models 2: Inference:Â Stanford University
