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    Results for "understanding purpose of sequential-probabilistic-inference steps"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Particle Filters (and Navigation)

      Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Algorithms, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Inferential Statistical Analysis with Python

      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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      925 reviews

      Intermediate · Course · 1 - 4 Weeks

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      O

      O.P. Jindal Global University

      Prescriptive Analytics

      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

      Build toward a degree

      Beginner · Course · 3 - 6 Months

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      Northeastern University

      Foundations of Statistical Learning & Algorithms

      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

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Science for Agile Decision-Making

      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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      What are the Chances? Probability and Uncertainty in Statistics

      Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      B

      Ball State University

      Statistical Methods for Data Science

      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

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • E

      EIT Digital

      Quantitative Model Checking

      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

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Efficiently Serving LLMs

      Skills you'll gain: Large Language Modeling, OpenAI, Performance Tuning, Generative AI, PyTorch (Machine Learning Library)

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Project · Less Than 2 Hours

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      U

      University of Michigan

      Design Strategies for Maximizing Total Data Quality

      Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Analysis, Data Access, Sampling (Statistics), Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 3 Months

    1…8910…834

    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

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