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  • Model Interpretability

Results for "model interpretability"


  • Status: Free Trial
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    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    83 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Explain Black-Box Models

    Skills you'll gain: Stakeholder Communications, Stakeholder Engagement, Data Storytelling, Stakeholder Management, Stakeholder Analysis, Data Presentation, Data-Driven Decision-Making, Business Communication, Model Evaluation, Responsible AI

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Responsible AI, Explainability & Deployment

    Skills you'll gain: Decision Intelligence, Responsible AI, Apache Kafka, Data Ethics, Operations Research, Data Pipelines, Model Deployment, Apache Spark, Real Time Data, Revenue Management, Market Dynamics, Supply Chain Planning, Supply Chain, Logistics, Compliance Management, Information Privacy, People Analytics, Regulatory Compliance, General Data Protection Regulation (GDPR), Python Programming

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

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

    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

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

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Calibrate and Serve Confident AI Predictions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, Applied Machine Learning, Model Optimization, Data Pipelines, Responsible AI, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Build and Evaluate Robust Financial Models

    Skills you'll gain: Financial Modeling, Microsoft Excel, Financial Forecasting, Excel Formulas, Cash Flow Forecasting, Auditing, Business Modeling, Risk Analysis, Financial Analysis, Spreadsheet Software, Cash Flows, Business Valuation, Model Evaluation, Dependency Analysis, Verification And Validation, Quality Assurance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Evaluate, Analyze, and Model Performance

    Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)

    Intermediate · Course · 1 - 4 Weeks

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

  • Explainable AI (XAI): Duke University
  • Interpretable Machine Learning: Duke University
  • Explain Black-Box Models: Coursera
  • Responsible AI, Explainability & Deployment: Coursera
  • Predict and Validate Regression Models in R: Coursera
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Calibrate and Serve Confident AI Predictions: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Build and Evaluate Robust Financial Models: Coursera

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