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    • Implementing Bayesian Inference State Estimation Solution
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    Results for "implementing bayesian inference state-estimation solution"

    • Status: Free Trial
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      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Keras (Neural Network Library), Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · 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 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 Colorado Boulder

      Data Acquisition, Risk, and Estimation

      Skills you'll gain: Sampling (Statistics), Engineering Management, Estimation, Statistical Methods, Leadership and Management, Technical Management, Statistical Software, Leadership, Data Collection, Quantitative Research, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Statistical Hypothesis Testing, Statistical Inference, Risk Analysis, Probability & Statistics, Risk Management, Business Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      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, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, Sampling (Statistics)

      Intermediate · Course · 1 - 3 Months

    • 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
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Machine Learning Implementation and Operations in AWS

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Applied Machine Learning, Amazon Web Services, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Application Deployment, Cloud Security, Data Management, Disaster Recovery, Data Security

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      3D Reconstruction - Multiple Viewpoints

      Skills you'll gain: Image Analysis, Computer Graphics, Virtual Reality, Computer Vision, Visualization (Computer Graphics), Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Optimize TensorFlow Models For Deployment with TensorRT

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      76 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Information Systems Implementation and Business Resilience

      Skills you'll gain: Disaster Recovery, Business Continuity Planning, Database Management, Database Administration, Problem Management, Relational Databases, Incident Management, Service Management, Information Systems, Software Development Methodologies, IT Management, Asset Management, Project Design, Object Oriented Design, Agile Methodology

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: Databricks, CI/CD, Microsoft Azure, Data Architecture, Integration Testing, Data Pipelines, Data Integration, Data Security, Automation, Data Storage, Development Testing, Restful API

      Intermediate · Course · 1 - 4 Weeks

    1…678…261

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

    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Causal Inference Project Ideation: University of Minnesota
    • Particle Filters (and Navigation): University of Colorado System
    • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
    • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Machine Learning Implementation and Operations in AWS: Whizlabs
    • 3D Reconstruction - Multiple Viewpoints: Columbia University
    • Optimize TensorFlow Models For Deployment with TensorRT: Coursera Project Network

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