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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


  • T

    The University of Sydney

    Introduction to Linear Algebra

    Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Intro to Snowflake for Devs, Data Scientists, Data Engineers

    Skills you'll gain: Data Engineering, Data Manipulation, Data Lakes, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, LLM Application, Generative AI, Data Science, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    352 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Data Science, Tensorflow, Mathematical Modeling, Computer Vision

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
    ·
    127 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

    3.7
    Rating, 3.7 out of 5 stars
    ·
    819 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate your Software Development Career

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Responsible AI, Generative AI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Software Engineering, Software Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    227 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Object Oriented Programming

    Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), C and C++, Object Oriented Design, Integrated Development Environments, Computer Programming, Programming Principles, Debugging, Data Structures, Program Development, Algorithms, Interactive Design, Data Modeling, Software Engineering, Test Data, Data Validation, User Interface (UI), Unit Testing, Data Management

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    241 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    568 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Data Analysis, Research Design, Image Analysis, Neurology, Statistical Analysis, Statistical Modeling, Data Processing, Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    848 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Introduction to Abnormal Psychology

    Skills you'll gain: Psychological Evaluations, Mental Health Diseases and Disorders, Clinical Psychology, Cultural Diversity, Psychotherapy, Mental Health, Psychology, Cognitive Behavioral Therapy, Mental Health Therapies, Interpersonal Communications, Clinical Assessment, Social Determinants Of Health

    4.9
    Rating, 4.9 out of 5 stars
    ·
    486 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Artificial Intelligence, Data Ethics, Social Sciences, Legal Technology, Intellectual Property, Regulation and Legal Compliance, Economics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    304 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Cisco CCNA 200-301: The Complete Guide to Getting Certified

    Skills you'll gain: Open Shortest Path First (OSPF), Virtual Local Area Network (VLAN), OSI Models, Wide Area Networks, Network Troubleshooting, TCP/IP, Wireless Networks, Cloud Computing, Network Routing, Routing Protocols, Network Security, Network Routers, Network Monitoring, Event Monitoring, Threat Detection, Threat Management, Network Performance Management, Network Switches, Network Planning And Design, Network Administration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    120 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to probabilistic graphical models

probabilistic graphical models
probabilistic graphical models 1: representation
probabilistic graphical models 3: learning
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1…787980…289

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

  • Introduction to Linear Algebra: The University of Sydney
  • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
  • Unsupervised Machine Learning: IBM
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Generative AI: Elevate your Software Development Career: IBM
  • Object Oriented Programming: University of London
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
  • Principles of fMRI 1: Johns Hopkins University
  • Introduction to Abnormal Psychology: Wesleyan University

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