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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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    Vanderbilt University

    AI Agents with Model Context Protocol

    Skills you'll gain: Model Context Protocol, AI Workflows, Generative AI Agents, Agentic Workflows, AI Orchestration, Agentic systems, Tool Calling, Artificial Intelligence and Machine Learning (AI/ML), AI Security, AI Enablement, Artificial Intelligence, LLM Application, Prompt Patterns, Prompt Engineering, ChatGPT, AI Personalization, AI Product Strategy, Anthropic Claude, Multimodal Prompts, Generative AI

    Beginner · Course · 1 - 3 Months

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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

  • 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

    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

    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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    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
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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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    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

  • Status: Free Trial
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    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    139 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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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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In summary, here are 10 of our most popular interpretable and explainable models courses

  • Explainable AI (XAI): Duke University
  • AI Agents with Model Context Protocol: Vanderbilt University
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Regression: Identify Assumptions & Apply Models: Coursera
  • Model Evaluation and Benchmarking: Coursera
  • AI Model Risk Management: Coursera
  • Model Training & Evaluation: Coursera
  • Engineer & Explain AI Model Decisions: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Generative AI Language Modeling with Transformers: IBM

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