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  • Understanding Purpose Of Sequential Probabilistic Inference Steps

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


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    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

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    Unilever

    Implementing Supply Chain Analytics

    Skills you'll gain: Descriptive Analytics, Supply Chain Management, Supply Chain Systems, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Predictive Analytics, Forecasting, Inventory Management System, Data-Driven Decision-Making, Business Analytics, Advanced Analytics, Analytics, Agile Methodology, SQL, Data Presentation, Data Analysis, Technical Communication, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    57 reviews

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    5.8K reviews

    Beginner · Course · 1 - 3 Months

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    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

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    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Analysis, Probability, Risk Modeling, Statistical Inference, Data Visualization Software, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

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    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

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    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Data Ethics, Sampling (Statistics), Probability & Statistics, Statistical Inference, A/B Testing, Quantitative Research

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    50 reviews

    Intermediate · Course · 1 - 3 Months

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    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
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    2.8K reviews

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

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    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Modeling, Statistical Software, Statistical Programming, Statistical Methods, Regression Analysis, Statistical Inference, R Programming, Numerical Analysis, Sampling (Statistics), Markov Model, Probability, Simulations, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

1…456…834

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

  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Implementing Supply Chain Analytics: Unilever
  • Introduction to Probability and Data with R: Duke University
  • Modeling Time Series and Sequential Data: SAS
  • Probability and Statistics: To p or not to p?: University of London
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Random Processes: Johns Hopkins University
  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
  • Inferential Statistics: Duke University
  • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University

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