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Results for "surrogate+model"
DeepLearning.AI
Skills you'll gain: Feature Engineering
University of Colorado Boulder
Skills you'll gain: General Statistics, Probability & Statistics, Regression, Calculus, Linear Algebra
Imperial College London
Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Python Programming, Tensorflow
Johns Hopkins University
Skills you'll gain: Mathematics, Problem Solving, Data Model, Regression, Algebra, Applied Mathematics, Data Analysis, Mathematical Theory & Analysis, Plot (Graphics)
University of Colorado Boulder
Skills you'll gain: General Statistics, Probability & Statistics, Experiment, Statistical Tests, Calculus, Linear Algebra
Imperial College London
Status: FreeCoursera Project Network
Skills you'll gain: Data Analysis, Data Visualization, Machine Learning, Python Programming, R Programming
Imperial College London
Skills you'll gain: SAS (Software), Statistical Programming, Data Analysis, Data Mining, Machine Learning, Probability & Statistics, Regression, Statistical Analysis, Statistical Machine Learning
DeepLearning.AI
Skills you'll gain: Applied Machine Learning, Deep Learning, Machine Learning, Python Programming, Tensorflow, Artificial Neural Networks, Network Architecture, Network Model, Computer Programming, Machine Learning Algorithms
In summary, here are 10 of our most popular surrogate+model courses
- Data Modeling, Transformation, and Serving:Â DeepLearning.AI
- Generalized Linear Models and Nonparametric Regression:Â University of Colorado Boulder
- Customising your models with TensorFlow 2:Â Imperial College London
- Precalculus: Mathematical Modeling:Â Johns Hopkins University
- ANOVA and Experimental Design:Â University of Colorado Boulder
- Developing the SIR Model:Â Imperial College London
- Generative AI Language Modeling with Transformers:Â IBM
- Build and deploy a stroke prediction model using R:Â Coursera Project Network
- Interventions and Calibration:Â Imperial College London
- Predictive Modeling with Logistic Regression using SAS :Â SAS
