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  • Model Interpretability

Results for "model interpretability"


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    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    Coursera

    Model Training & Evaluation

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Analyze Cases & Evaluate Models in Finance

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

    Skills you'll gain: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Microsoft Azure, Cloud Development, Scalability, Authentications, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Model Evaluation and Benchmarking

    Skills you'll gain: Generative AI, Model Evaluation, Dashboard, Image Quality, Test Script Development, Image Analysis, Test Case, Verification And Validation, Large Language Modeling, Data Visualization, Continuous Monitoring, Plotly, Text Mining, Natural Language Processing, Matplotlib, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Evaluate, Analyze, and Model Performance

    Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Technical Communication, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Optimize AI: Build & Evaluate Predictive Models

    Skills you'll gain: Predictive Modeling, Statistical Machine Learning, Performance Analysis, Performance Metric, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Audit & Evaluate Excel Models

    Skills you'll gain: Auditing, Financial Auditing, Excel Formulas, Version Control, Financial Modeling, Microsoft Excel, Model Evaluation, Analysis, Dependency Analysis, Governance Risk Management and Compliance, Business Modeling, Case Studies, Performance Analysis, Technical Documentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

1234…350

In summary, here are 10 of our most popular model interpretability courses

  • Interpretable Machine Learning: Duke University
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Satellite Imagery, Remote Sensing & Machine Learning: Coursera
  • Model Training & Evaluation: Coursera
  • Analyze Cases & Evaluate Models in Finance: Coursera
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • Model Evaluation and Benchmarking: Coursera
  • Optimizing Models for Production: Coursera
  • Validate and Explain Your ML Models: Coursera
  • Evaluate, Analyze, and Model Performance: Coursera

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