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  • Bayesian Network

Results for "bayesian network"


  • Status: New
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    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    U

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Regression Analysis, Python Programming

    2.9
    Rating, 2.9 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Network Tiers - Optimizing Network Spend

    Skills you'll gain: Google Cloud Platform, Network Performance Management, Network Planning And Design, Cloud Computing, Virtual Machines, Network Routing

    Beginner · Project · Less Than 2 Hours

  • Status: New
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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    K

    Kennesaw State University

    Managing Network Security

    Skills you'll gain: Network Security, Network Administration, Security Management, Firewall, Network Monitoring, Cybersecurity, General Networking, Cyber Security Assessment, Network Protocols, Computer Networking, Virtual Private Networks (VPN), Wireless Networks, Vulnerability Assessments, Cloud Security, System Monitoring, Security Awareness, TCP/IP, Intrusion Detection and Prevention, Cloud Computing, Threat Detection

    4.8
    Rating, 4.8 out of 5 stars
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    238 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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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

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    I

    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
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    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    Intel

    Intel® Network Academy - Network Transformation 102

    Skills you'll gain: Cryptography, Network Security, Software-Defined Networking, Network Architecture, Computer Networking, Virtualization, Program Development, Hardware Architecture, Virtual Machines, Open Source Technology, Performance Tuning, Cloud Computing, Unit Testing

    4.6
    Rating, 4.6 out of 5 stars
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    137 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular bayesian network courses

  • Statistical Learning for Engineering Part 2: Northeastern University
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Network Modeling and Analysis in Python: University of Michigan
  • Neural Networks and Random Forests: LearnQuest
  • Network Tiers - Optimizing Network Spend: Google Cloud
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Managing Network Security: Kennesaw State University
  • Particle Filters (and Navigation): University of Colorado System
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Interpretable machine learning applications: Part 3: Coursera

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