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The language used throughout the course, in both instruction and assessments.
Results for "model+interpretability"
Starweaver
DeepLearning.AI
Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Mobile Development, Computer Vision, Data Model, Mobile Development Tools, Python Programming, Tensorflow, Software Framework, iOS Development
Stanford University
Skills you'll gain: Bayesian Network, General Statistics, Probability & Statistics, Graph Theory, Bayesian Statistics, Markov Model
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning, Probability & Statistics, Human Learning, Algorithms
Wesleyan University
Skills you'll gain: Regression
Coursera Project Network
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics
Coursera Project Network
Skills you'll gain: Storytelling
Macquarie University
Skills you'll gain: Business Analysis, Data Analysis, Forecasting, Microsoft Excel, Probability & Statistics, Regression, Spreadsheet Software, General Statistics, Statistical Analysis, Statistical Tests
Status: FreeJohns Hopkins University
Skills you'll gain: Epidemiology
Google Cloud
Skills you'll gain: Looker (Software)
Status: FreeGoogle Cloud
In summary, here are 10 of our most popular model+interpretability courses
- Business Process Modelling:Â Starweaver
- Device-based Models with TensorFlow Lite:Â DeepLearning.AI
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Regression Modeling in Practice:Â Wesleyan University
- Interpretable Machine Learning Applications: Part 1:Â Coursera Project Network
- Integral Calculus through Data and Modeling:Â Johns Hopkins University
- Building an Ecosystem model with Insight Maker:Â Coursera Project Network
- Excel Regression Models for Business Forecasting:Â Macquarie University
- Infectious Disease Transmission Models for Decision-Makers:Â Johns Hopkins University
