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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: New
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    CertNexus

    CFR: Risk and Threat Analysis

    Skills you'll gain: Threat Modeling, Cybersecurity, Cyber Threat Intelligence, Threat Management, Information Systems Security, Threat Detection, Security Management, Cyber Risk, Cyber Security Assessment, Risk Analysis, Computer Security, Risk Mitigation, Risk Management, Network Security, Information Assurance, Risk Management Framework, Enterprise Risk Management (ERM), Risk Appetite, Trend Analysis, Technical Documentation

    Mixed · Course · 1 - 4 Weeks

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    Macquarie University

    Storytelling and influencing: Communicate with impact

    Skills you'll gain: Persuasive Communication, Storytelling, Influencing, Communication, Leadership, Verbal Communication Skills, Stakeholder Communications, Public Speaking, Communication Strategies, Interpersonal Communications, Meeting Facilitation, Executive Presence, Strategic Communication, Discussion Facilitation, Team Leadership, Active Listening

    4.8
    Rating, 4.8 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 3 Months

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    Packt

    PowerPoint Data Viz – Business Charting Techniques

    Skills you'll gain: Data Visualization, Microsoft PowerPoint, Data Storytelling, Microsoft Excel, Trend Analysis

    Intermediate · Course · 3 - 6 Months

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    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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    Illinois Tech

    Healthcare Data Management and Interfaces

    Skills you'll gain: Health Informatics, Medical Records, Health Information Management, Interoperability, Health Care, Electronic Medical Record System, Clinical Data Management, Internet Of Things, Emerging Technologies, Data Management, Unstructured Data, Data Integration, Data Modeling, Data Transformation, Scalability

    Mixed · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Statistical Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    Logical Operations

    Excel: Data Analysis with Formulas/Functions and PivotTables

    Skills you'll gain: Excel Formulas, Pivot Tables And Charts, Microsoft Excel, Spreadsheet Software, Data Validation, Data Visualization, Data Analysis, Interactive Data Visualization, Productivity Software, Data Integrity, Microsoft Office, Microsoft 365

    Mixed · Course · 1 - 4 Weeks

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    University of Maryland, College Park

    Cybersecurity: Overlooked Threats to Your Strategy

    Skills you'll gain: Cybersecurity, Cyber Security Strategy, Threat Modeling, Cyber Security Policies, Cyber Attacks, Cyber Risk, Legal Risk, Security Awareness, Information Systems Security, Human Factors (Security), Computer Security, Public Safety and National Security, Infrastructure Security, Data Security, Risk Management

    Beginner · Course · 1 - 3 Months

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    Universidad Nacional Autónoma de México

    Introducción a Data Science: Programación Estadística con R

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Ggplot2, Data Manipulation, Statistical Software, Data Visualization, Exploratory Data Analysis, Data Import/Export, Simulations, Data Structures, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
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    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado System

    Fundamentals of Network Communication

    Skills you'll gain: Digital Communications, OSI Models, Network Protocols, TCP/IP, Network Routing, Network Architecture, Network Planning And Design, Computer Networking, System Programming, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
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    2.4K reviews

    Intermediate · Course · 1 - 3 Months

Searches related to probabilistic graphical models

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1…464748…311

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

  • CFR: Risk and Threat Analysis: CertNexus
  • Storytelling and influencing: Communicate with impact: Macquarie University
  • PowerPoint Data Viz – Business Charting Techniques: Packt
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Healthcare Data Management and Interfaces: Illinois Tech
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Excel: Data Analysis with Formulas/Functions and PivotTables: Logical Operations
  • Cybersecurity: Overlooked Threats to Your Strategy: University of Maryland, College Park

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