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Results for "understanding purpose of sequential-probabilistic-inference steps"
- Status: Free Trial
University of Colorado System
Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Algorithms, Computer Programming Tools
- Status: Free Trial
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Jupyter, Python Programming, Matplotlib, NumPy
- Status: NewStatus: Preview
O.P. Jindal Global University
Skills you'll gain: Mathematical Modeling, Network Model, Business Modeling, Operations Research, Microsoft Excel, Process Optimization, Business Analytics, Predictive Modeling, Data-Driven Decision-Making, Analytical Skills, Machine Learning, Bayesian Statistics
- Status: Preview
Northeastern University
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra
- Status: Free Trial
Duke University
Skills you'll gain: Data-Driven Decision-Making, Strategic Decision-Making, Business Analytics, Business Intelligence, Analytics, Business Transformation, Data Literacy, Forecasting, Data Science, Operational Analysis, Data Analysis, Market Intelligence, Artificial Intelligence
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
- Status: Preview
Ball State University
Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Statistical Programming, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), Descriptive Statistics, R Programming, Statistical Visualization
EIT Digital
Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Probability, Algorithms, Real-Time Operating Systems, Probability Distribution
- Status: Free
DeepLearning.AI
Skills you'll gain: Large Language Modeling, OpenAI, Performance Tuning, Generative AI, PyTorch (Machine Learning Library)
- Status: Free Trial
University of Michigan
Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Analysis, Data Access, Sampling (Statistics), Statistical Methods
- Status: Free Trial
University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms
In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses
- Particle Filters (and Navigation): University of Colorado System
- Inferential Statistical Analysis with Python: University of Michigan
- Prescriptive Analytics: O.P. Jindal Global University
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Data Science for Agile Decision-Making: Duke University
- Computational and Graphical Models in Probability: Johns Hopkins University
- What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
- Statistical Methods for Data Science: Ball State University
- Quantitative Model Checking: EIT Digital
- Efficiently Serving LLMs: DeepLearning.AI