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  • Understanding Purpose Of Sequential Probabilistic Inference Steps

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


  • Status: Free Trial
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    U

    University of Pennsylvania

    Modeling Risk and Realities

    Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Predictive Modeling, Simulation and Simulation Software, Operations Research, Probability Distribution, Data-Driven Decision-Making, Statistical Hypothesis Testing, Statistical Analysis, Microsoft Excel, Excel Formulas

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    531 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

    Advanced · 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 Software, 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

  • Status: Preview
    Preview
    N

    New York University

    MOST from a Methodological Perspective

    Skills you'll gain: Clinical Trials, Experimentation, Environment and Resource Management, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Statistical Methods, Research Methodologies

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Prescriptive Analytics

    Skills you'll gain: Microsoft Excel, Business Analytics, Operations Research, Mathematical Modeling, Analytical Skills, Business Analysis, Forecasting, Network Model, Advanced Analytics, Applied Machine Learning, Decision Making, Team Building, Process Optimization, Case Studies

    Build toward a degree

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Automated Reasoning with GPT Assistant API: ReAct Agents

    Skills you'll gain: LLM Application, OpenAI, Generative AI Agents, Cost Benefit Analysis, Generative AI, Application Programming Interface (API), Development Environment, Business Logic, Prompt Engineering, Secure Coding, Scalability, Business Analysis, Business Solutions, TypeScript, Node.JS, Data Integration

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    J

    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Causal Inference Project Ideation

    Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Complex Problem Solving, Statistical Inference, Business Priorities, Data Ethics, Prioritization, Project Planning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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 Strategy, Data Analysis, Sampling (Statistics)

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · 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 (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

1…8910…834

In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses

  • Modeling Risk and Realities: University of Pennsylvania
  • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • MOST from a Methodological Perspective: New York University
  • Prescriptive Analytics: O.P. Jindal Global University
  • Using probability distributions for real world problems in R: Coursera
  • Automated Reasoning with GPT Assistant API: ReAct Agents: Coursera
  • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
  • Causal Inference Project Ideation: University of Minnesota

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