Filter by
The language used throughout the course, in both instruction and assessments.
Results for "understand+and+manage+models+for+probability"
University of Minnesota
Skills you'll gain: Decision Making, Probability & Statistics, Probability Distribution, Statistical Analysis, Data Analysis, General Statistics
Wesleyan University
Skills you'll gain: Regression
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Probability Distribution, Markov Model, R Programming
Johns Hopkins University
Johns Hopkins University
Skills you'll gain: Calculus, Mathematical Theory & Analysis, Mathematics, Algebra, Problem Solving
Erasmus University Rotterdam
Skills you'll gain: Business Analysis, Microsoft Excel, Spreadsheet Software
Skills you'll gain: Forecasting, Machine Learning, Data Analysis, Probability & Statistics, Statistical Analysis, Human Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Dimensionality Reduction
Imperial College London
Skills you'll gain: Probability & Statistics, Statistical Analysis, Computer Programming, Deep Learning, Tensorflow
Skills you'll gain: General Statistics, Python Programming
École Polytechnique
Skills you'll gain: Calculus, Problem Solving, Algebra, Data Analysis, Mathematics
Status: FreeÉcole Polytechnique Fédérale de Lausanne
LearnKartS
In summary, here are 10 of our most popular understand+and+manage+models+for+probability courses
- Simulation Models for Decision Making:Â University of Minnesota
- Regression Modeling in Practice:Â Wesleyan University
- Bayesian Statistics: Mixture Models:Â University of California, Santa Cruz
- Infectious Disease Modeling in Practice:Â Johns Hopkins University
- Calculus through Data & Modeling: Limits & Derivatives:Â Johns Hopkins University
- Excel Modeling for Professionals: Best Practices & Pitfalls:Â Erasmus University Rotterdam
- Specialized Models: Time Series and Survival Analysis:Â IBM
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Introduction to PyMC3 for Bayesian Modeling and Inference:Â Databricks
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
