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  • Interpretable And Explainable Models

Results for "interpretable+and+explainable+models"


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    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.7
    Rating, 4.7 out of 5 stars
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    80 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Specialization · 1 - 4 Weeks

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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    Coursera

    Engineer & Explain AI Model Decisions

    Skills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging

    Intermediate · Course · 1 - 4 Weeks

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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

    4.7
    Rating, 4.7 out of 5 stars
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    28 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

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    EDUCBA

    Financial Modeling & Valuation: Analyze & Forecast

    Skills you'll gain: Financial Modeling, Revenue Forecasting, Working Capital, Cash Flows, Business Valuation, Financial Forecasting, Expense Management, Financial Data, Cash Flow Forecasting, Operating Expense, Depreciation, Financial Analysis, Financial Statements, Asset Management, Revenue Management, Business Metrics, Capital Expenditure, Income Statement, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
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    88 reviews

    Mixed · Course · 1 - 3 Months

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    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Machine Learning Methods, Model Evaluation, Data Literacy, Artificial Neural Networks, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    56 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Regression: Identify Assumptions & Apply Models

    Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    AI Model Risk Management

    Skills you'll gain: Governance Risk Management and Compliance, Compliance Management, Responsible AI, Risk Control, Risk Management, AI Security, Business Risk Management, Model Evaluation, Risk Mitigation, Governance, Compliance Auditing, Risk Analysis, Regulatory Requirements, Process Validation, Gap Analysis, Verification And Validation, Auditing, Key Performance Indicators (KPIs)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

1234…9

In summary, here are 10 of our most popular interpretable+and+explainable+models courses

  • Explainable AI (XAI): Duke University
  • Introduction to Transformer Models for NLP: Pearson
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Engineer & Explain AI Model Decisions: Coursera
  • Interpretable Machine Learning: Duke University
  • Financial Modeling & Valuation: Analyze & Forecast: EDUCBA
  • Developing Explainable AI (XAI): Duke University
  • Regression: Identify Assumptions & Apply Models: Coursera
  • AI Model Risk Management: Coursera

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