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  • Model Interpretability

Results for "model interpretability"


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

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Model Evaluation and Benchmarking

    Skills you'll gain: Generative AI, Model Evaluation, Dashboard Creation, Dashboard, Image Quality, Embeddings, Image Analysis, Large Language Modeling, Data Visualization, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Machine Learning, Machine Learning Methods, Model Evaluation, Artificial Neural Networks, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Italiano

    Skills you'll gain: Data Ethics, Responsible AI, Applied Machine Learning, AI literacy, Model Evaluation, Machine Learning Methods, Machine Learning, Software Visualization, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 繁體中文

    Skills you'll gain: Data Ethics, Responsible AI, AI literacy, Data Analysis, Data Literacy, Artificial Intelligence, Applied Machine Learning, Machine Learning Methods, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 简体中文

    Skills you'll gain: Responsible AI, AI literacy, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Financial Modeling with Excel & AI: Analyze Forecast

    Skills you'll gain: Financial Modeling, Financial Forecasting, Financial Statements, Depreciation, Financial Statement Analysis, Financial Accounting, Financial Reporting, Balance Sheet, Financial Data, Capital Budgeting, Financial Acumen, Financial Analysis, Excel Formulas, Income Statement, Microsoft Excel, Risk Analysis, Data Storytelling, Data Validation, Spreadsheet Software, Analysis

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro

    Skills you'll gain: AI literacy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Model Evaluation, Machine Learning Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 한국어

    Skills you'll gain: Responsible AI, AI literacy, Data Ethics, Artificial Intelligence, Model Evaluation, Applied Machine Learning, Machine Learning, Data Governance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning, Convolutional Neural Networks, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

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

  • Optimizing Models for Production: Coursera
  • Model Evaluation and Benchmarking: Coursera
  • Developing Explainable AI (XAI): Duke University
  • Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
  • Master Financial Modeling with Excel & AI: Analyze Forecast: EDUCBA
  • Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 한국어: Google Cloud
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow

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