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  • Probabilistic Graphical Models

Probabilistic Graphical Models Courses

Probabilistic Graphical Models courses can help you learn Bayesian networks, Markov random fields, and inference algorithms. You can build skills in modeling uncertainty, reasoning under uncertainty, and making predictions based on incomplete data. Many courses introduce tools like TensorFlow Probability and PyMC3, which are used for implementing these models and performing complex calculations, enabling you to apply your knowledge to real-world data analysis and machine learning tasks.

Popular Probabilistic Graphical Models Courses and Certifications


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    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Mathematical Modeling, Data Transformation, Probability Distribution, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Decision Intelligence, Verification And Validation, Release Management, Maintainability, Machine Learning, Experimentation, Performance Testing, Benchmarking, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Apply Technical Analysis & Market Models for Trading

    Skills you'll gain: Technical Analysis, Data Literacy, Financial Trading, Financial Market, Descriptive Statistics, Market Data, Statistics, Portfolio Risk, Statistical Methods, Derivatives, Risk Modeling, Market Analysis, Statistical Analysis, Market Dynamics, Securities Trading, Risk Analysis, Verification And Validation, Securities (Finance), Data Analysis, International Finance

    4.7
    Rating, 4.7 out of 5 stars
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    38 reviews

    Beginner · Specialization · 1 - 3 Months

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    Google Cloud

    Transformer Models and BERT Model - בעברית

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Transfer Learning, Generative Model Architectures, Applied Machine Learning, Text Mining, Fine-tuning, Deep Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Decision Intelligence, Jupyter, Model Optimization, Responsible AI, Model Evaluation, Performance Improvement, AI literacy, Risk Modeling, Performance Metric, Credit Risk, Performance Analysis, Performance Tuning, Test Planning, Test Engineering, Applied Machine Learning, Research Design

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

    Skills you'll gain: Responsible AI, Model Evaluation, AI Integrations, Model Deployment, GitHub, Application Programming Interface (API), AI Enablement, AI literacy, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Prompt Engineering, Scalability, Authentications, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Simplilearn

    Generative AI Models and Transformer Networks Certification

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing

    3.5
    Rating, 3.5 out of 5 stars
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    14 reviews

    Beginner · Specialization · 1 - 3 Months

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    Pragmatic AI Labs

    AWS Generative AI and Foundation Models

    Skills you'll gain: Amazon Bedrock, Token Optimization, Generative AI, AWS SageMaker, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, AI literacy, Amazon Web Services, Amazon Elastic Compute Cloud, No-Code Development, AI Integrations, Model Deployment, Model Optimization, Technology Solutions, Rust (Programming Language), Package and Software Management

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
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    205 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Fine-tuning, Large Language Modeling, System Monitoring, Open Web Application Security Project (OWASP), Scalability, Generative Model Architectures, Hugging Face, Continuous Monitoring, AI Integrations, Load Balancing, Performance Tuning, Application Deployment, Model Optimization, Transfer Learning, AI Security, Applied Machine Learning, Application Security, API Design

    Intermediate · Course · 1 - 4 Weeks

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    Pragmatic AI Labs

    Large Language Models with Hugging Face

    Skills you'll gain: Prompt Engineering, Hugging Face, Agentic Workflows, Generative AI Agents

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular probabilistic graphical models courses

  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Validate, Analyze, and Monitor ML Models: Coursera
  • Apply Technical Analysis & Market Models for Trading: EDUCBA
  • Transformer Models and BERT Model - בעברית: Google Cloud
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • Generative AI Models and Transformer Networks Certification: Simplilearn
  • AWS Generative AI and Foundation Models: Pragmatic AI Labs
  • Gen AI Foundational Models for NLP & Language Understanding: IBM

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