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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
    D

    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Generative AI, Classification Algorithms, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Data Analytics and Visualization

    Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Data Presentation, Microsoft Excel, Dashboard Creation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Excel Formulas, Dashboard, Data Transformation, Spreadsheet Software, Excel Macros, Tree Maps, Data Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Business Intelligence Software

    4.8
    Rating, 4.8 out of 5 stars
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    6.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    4.3K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Meta

    Meta Data Analyst

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Presentation, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Performance Metric, Information Privacy, Pandas (Python Package), Data Analysis, Data Visualization Software, Spreadsheet Software, Analytics, SQL, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Prompt Engineering Tools, Prompt Patterns, AI powered creativity, Context Engineering, AI literacy, AI Personalization, Generative AI, Timelines, LLM Application, Agentic Workflows, Ideation, Artificial Intelligence, Business Correspondence, Complex Problem Solving, Report Writing, Solution Design, Document Management, Critical Thinking, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    7.5K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    4.6
    Rating, 4.6 out of 5 stars
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    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
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    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Science and Research, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Statistical Analysis, R (Software), Data Analysis, Statistical Software, Statistical Programming, Probability & Statistics, Statistical Methods, Data Analysis Software, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Intermediate II

    Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Data Integrity, Visual Basic (Programming Language), Business Modeling, Automation, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Big Data

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Quality, Data Storage

    4.6
    Rating, 4.6 out of 5 stars
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    11K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Model Optimization, Generative AI Agents, Model Deployment, Tensorflow, Google Cloud Platform, Model Training, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Generative AI, Model Evaluation, Cloud Infrastructure, Prompt Engineering Tools, Data Cleansing, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
  • Excel Skills for Data Analytics and Visualization: Macquarie University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Learn SQL Basics for Data Science: University of California, Davis
  • Meta Data Analyst: Meta
  • Google Prompting Essentials: Google
  • Generative AI: Introduction and Applications: IBM
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Excel Skills for Business: Intermediate II: Macquarie University

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