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  • Model Interpretability

Results for "model+interpretability"


  • Status: New
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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

  • Status: Free Trial
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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

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    Pragmatic AI Labs

    Large Language Models with Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, Prompt Engineering, Retrieval-Augmented Generation, Large Language Modeling, Tool Calling, Agentic systems, Embeddings, Model Deployment, Systems Design, Vector Databases, Application Programming Interface (API)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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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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    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

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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, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, 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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  • Status: New
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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

    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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    Coursera

    Interpret Analytics: Boost Engagement & Optimize Content

    Skills you'll gain: Content Performance Analysis, Web Analytics, Multimedia, Web Content, Drive Engagement, Content Marketing, Content Strategy, Content Development and Management, Analytics, Customer experience improvement, Search Engine Optimization, Performance Analysis, Data Analysis, Information Architecture, Process Improvement and Optimization, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Analyze Multimodal AI for Business Insights

    Skills you'll gain: Multimodal Prompts, Data Presentation, Strategic Thinking, AI Enablement, Customer Insights, Large Language Modeling, Analytical Skills, Data Synthesis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

    Advanced · Course · 1 - 4 Weeks

1234…9

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

  • Engineer & Explain AI Model Decisions: Coursera
  • Interpretable Machine Learning: Duke University
  • Large Language Models with Hugging Face: Pragmatic AI Labs
  • Explainable AI (XAI): Duke University
  • AI Model Risk Management: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Regression: Identify Assumptions & Apply Models: Coursera
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Interpret Analytics: Boost Engagement & Optimize Content: Coursera
  • Engineer Features and Evaluate Models for Production: Coursera

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