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  • Understanding Purpose Of Sequential Probabilistic Inference Steps

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


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    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

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    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
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    62 reviews

    Intermediate · Course · 1 - 3 Months

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    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

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    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

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    U

    University of Leeds

    Introduction to Technology-Assisted Decision-Making

    Skills you'll gain: Resource Allocation, Operations Research, Production Planning, Graph Theory, Data-Driven Decision-Making, Decision Making, Mathematical Modeling, Process Optimization, Network Planning And Design, Complex Problem Solving, Computational Logic, Algorithms, Linear Algebra, Cryptography

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

    4.1
    Rating, 4.1 out of 5 stars
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    322 reviews

    Mixed · Course · 1 - 4 Weeks

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    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, Computational Thinking, Engineering Analysis, Algorithms, Computer Programming Tools

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

    Mixed · Course · 1 - 4 Weeks

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    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

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    Coursera

    What are GPTs and How can they work for my business?

    Skills you'll gain: ChatGPT, Market Research, Financial Forecasting, Business Process Automation, Strategic Thinking, Market Analysis, Business Transformation, Generative AI, Strategic Decision-Making, Supply Chain Management, Digital Transformation, Innovation, Prompt Engineering, Forecasting, Customer Support, Artificial Intelligence

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
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    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
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    930 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • 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
  • Introduction to Technology-Assisted Decision-Making: University of Leeds
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Particle Filters (and Navigation): University of Colorado System
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Automated Reasoning with GPT Assistant API: ReAct Agents: Coursera
  • What are GPTs and How can they work for my business?: Coursera

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