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  • Bayesian Network


Results for "bayesian+network"


  • Status: New
    New
    G

    Google

    AI for Brainstorming and Planning

    Skills you'll gain: Brainstorming, Planning, Timelines, Business Planning, Dependency Analysis, Project Schedules, Product Roadmaps, Strategic Planning, Gemini, Coordinating, Generative AI, Artificial Intelligence, Collaborative Software, Project Management, LLM Application, Knowledge Transfer, Operational Analysis, Organizational Skills, Responsible AI, Cross-Functional Collaboration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    112 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    Déployer et adapter des modèles d'IA avec Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Generative AI, Serverless Computing, Cloud Deployment, Application Deployment, Containerization, Performance Tuning, Machine Learning Methods, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Applied Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Bayesian Statistics: Excel to Python A/B Testing

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Data Engineering Essentials

    Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    678 reviews

    Intermediate · Course · 1 - 4 Weeks

1234…9

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

  • AI for Brainstorming and Planning: Google
  • Déployer et adapter des modèles d'IA avec Cloud Run: Google Cloud
  • Build Predictive & Supervised Models: Coursera
  • Build Intelligent Agents Using DeepSeek & N8N : Board Infinity
  • Design and Build Custom Neural Networks: Coursera
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Data Engineering Essentials: KodeKloud
  • Foundations of Neural Networks: Johns Hopkins University

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