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  • Bayesian Network

Results for "bayesian+network"


  • U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Generative AI for Data Science with Copilot

    Skills you'll gain: Generative AI, Microsoft Copilot, Generative Adversarial Networks (GANs), Responsible AI, Data Ethics, Autoencoders, Data Security, Information Privacy, Anomaly Detection, Model Evaluation, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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 Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    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, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • B

    Board Infinity

    Build Intelligent Agents Using DeepSeek & N8N

    Skills you'll gain: Email Automation, Workflow Management, AI Workflows, No-Code Development, Deepseek, Large Language Modeling, Generative AI, Automation, Model Deployment, Data Analysis, Google Sheets, Data Processing, Gmail

    4.1
    Rating, 4.1 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    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
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Classification Algorithms

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

1234…9

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

  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Generative AI for Data Science with Copilot: Microsoft
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Neural Networks and Random Forests: LearnQuest
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Foundations of Neural Networks: Johns Hopkins University
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Build Intelligent Agents Using DeepSeek & N8N : Board Infinity
  • Inferential Statistics: Duke University

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