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Results for "model+interpretability"
Coursera Project Network
Skills you'll gain: Deep Learning, Python Programming, Tensorflow
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
University of Pennsylvania
Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Risk Management, Statistical Tests, Data Analysis Software, Probability Distribution, Spreadsheet Software, Statistical Analysis
Wesleyan University
Skills you'll gain: Computer Programming, Data Analysis, Data Management, General Statistics, Human Learning, Leadership and Management, Machine Learning, Python Programming, Regression
Status: FreeDuke University
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
Skills you'll gain: Cloud Computing
Coursera Project Network
Skills you'll gain: Storytelling
Google Cloud
Skills you'll gain: Looker (Software)
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics
Macquarie University
Skills you'll gain: Business Analysis, Data Analysis, Forecasting, Microsoft Excel, Probability & Statistics, Regression, Spreadsheet Software, General Statistics, Statistical Analysis, Statistical Tests
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning, Probability & Statistics, Human Learning, Algorithms
In summary, here are 10 of our most popular model+interpretability courses
- Optimize TensorFlow Models For Deployment with TensorRT:Â Coursera Project Network
- Probabilistic Graphical Models:Â Stanford University
- Modeling Risk and Realities:Â University of Pennsylvania
- Data Analysis and Interpretation:Â Wesleyan University
- Foundations of Local Large Language models:Â Duke University
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Introduction to Model-Based Systems Engineering:Â Siemens
- Building an Ecosystem model with Insight Maker:Â Coursera Project Network
- Developing Data Models with LookML:Â Google Cloud
- Integral Calculus through Data and Modeling:Â Johns Hopkins University
