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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


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    202 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Lausanne

    HEALTHY URBAN SYSTEMS - PART 2 : Theories, models and tools

    Skills you'll gain: Systems Thinking, Health Systems, Health Policy, Public Health, Systems Analysis, Predictive Modeling, Social Determinants Of Health

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Transformer Models and BERT Model - 繁體中文

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

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    878 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Decoding AI: A Deep Dive into AI Models and Predictions

    Skills you'll gain: Generative AI, Model Evaluation, Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, AI Enablement, Artificial Intelligence, Big Data, Machine Learning, Social Impact

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Embeddings, Generative AI, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 3

    Skills you'll gain: Large Language Modeling, Model Deployment, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Cloud Deployment, Vision Transformer (ViT), Model Evaluation, Reinforcement Learning, Image Analysis, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 2

    Skills you'll gain: Prompt Engineering, LLM Application, OpenAI API, Large Language Modeling, Embeddings, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, AI Enablement, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Work with Gemini Models in BigQuery - 日本語版

    Skills you'll gain: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Query Languages, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Work with Gemini Models in BigQuery - 简体中文

    Skills you'll gain: Google Gemini, Google Cloud Platform, Big Data, Generative AI, Customer Relationship Management, Predictive Modeling, Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), SQL, Prompt Engineering, Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Work with Gemini Models in BigQuery - 繁體中文

    Skills you'll gain: Google Gemini, Generative AI, Big Data, Customer Relationship Management, SQL, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

Searches related to probabilistic graphical models

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1…242526…308

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

  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • HEALTHY URBAN SYSTEMS - PART 2 : Theories, models and tools : University of Lausanne
  • Transformer Models and BERT Model - 繁體中文: Google Cloud
  • Generative AI Engineering with LLMs: IBM
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
  • Work with Gemini Models in BigQuery - 日本語版: Google Cloud

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