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  • Implementing Bayesian Inference State Estimation Solution

Results for "implementing bayesian inference state-estimation solution"


  • Status: Free Trial
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    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Machine Learning Methods, Probability & Statistics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Machine Learning Algorithms, Statistical Methods, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Algorithms, System Design and Implementation, Solution Design, Data-Driven Decision-Making, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    829 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems Capstone

    Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Machine Learning Algorithms, Algorithms

    4.1
    Rating, 4.1 out of 5 stars
    ·
    29 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    656 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Minnesota

    Recommender Systems: Evaluation and Metrics

    Skills you'll gain: Performance Metric, Performance Measurement, Benchmarking, Usability Testing, A/B Testing, User Feedback, Analysis, Data-Driven Decision-Making, Predictive Analytics, Diversity and Inclusion

    4.4
    Rating, 4.4 out of 5 stars
    ·
    235 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Data Visualization, Descriptive Statistics, Bayesian Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Software, Probability & Statistics, Matplotlib, Statistical Analysis, Statistics, Data Analysis, Box Plots, Statistical Programming, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Intermediate · Specialization · 1 - 3 Months

  • 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, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular implementing bayesian inference state-estimation solution courses

  • Data Analysis with R: Duke University
  • Probabilistic Graphical Models: Stanford University
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Recommender Systems: University of Minnesota
  • Recommender Systems Capstone: University of Minnesota
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Recommender Systems: Evaluation and Metrics: University of Minnesota
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Statistics with Python: University of Michigan
  • Game Theory: Stanford University

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