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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


  • A

    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Model Optimization, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    ★ 5 (13) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • E

    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • G

    Google Cloud

    Transformer Models and BERT Model - Español

    Skills you'll gain: Natural Language Processing, Generative Model Architectures, Large Language Modeling, Classification Algorithms

    Advanced · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • P

    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

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Deploy, Manage, and Orchestrate Your Models

    Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • E

    Edureka

    Fine-Tuning & Optimizing Large Language Models

    Skills you'll gain: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management

    Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    ★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Model Optimization, Model Training, Artificial Neural Networks, Model Evaluation

    ★ 4.9 (1.1K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Transformation, Model Evaluation, Unsupervised Learning, Dimensionality Reduction

    ★ 4.5 (147) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Decision Intelligence, Model Evaluation, Model Optimization, Data-Driven Decision-Making, Applied Machine Learning, A/B Testing, Statistical Machine Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Machine Learning Algorithms, Performance Analysis, Statistical Analysis, Regulatory Requirements

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
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In summary, here are 10 of our most popular probabilistic graphical models courses

  • Building and Deploying Generative AI Models: Alberta Machine Intelligence Institute
  • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA
  • Generative AI Models and GPU Systems: Edureka
  • Transformer Models and BERT Model - Español: Google Cloud
  • Large Language Models with Hugging Face: Pragmatic AI Labs
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • Deploy, Manage, and Orchestrate Your Models: Coursera
  • Fine-Tuning & Optimizing Large Language Models: Edureka
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI

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