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  • Interpretability Vs Explainability

Results for "interpretability vs explainability"


  • Status: New
    New
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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: Free Trial
    Free Trial
    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
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    83 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication

    4.6
    Rating, 4.6 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Vanderbilt University

    AI Agent Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, AI powered creativity, Agentic Workflows, OpenAI API, LLM Application, Ideation, Verification And Validation, Generative AI, AI Workflows, AI literacy, OpenAI, Expense Management, Multimodal Prompts, AI Personalization, Software Development

    4.8
    Rating, 4.8 out of 5 stars
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    10K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Vanderbilt University

    Generative AI Automation

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, AI powered creativity, Ideation, Verification And Validation, LLM Application, AI literacy, Multimodal Prompts, Generative AI, Responsible AI, AI Enablement, Data Visualization, Risking, Image Analysis, Artificial Intelligence, Large Language Modeling, Organizational Skills, Plot (Graphics), Data Presentation

    4.8
    Rating, 4.8 out of 5 stars
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    9.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    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

What brings you to Coursera today?

  • Status: New
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    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
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    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • 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
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    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Gradient to Production: MLOps & Model Serving

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java Spring Boot Backend Development

    Skills you'll gain: Restful API, Object Oriented Programming (OOP), Object Oriented Design, Java Programming, Spring Framework, Java, Spring Boot, API Design, Application Programming Interface (API), Hibernate (Java), Data Validation, Development Testing, Verification And Validation, Authentications, Model View Controller, Back-End Web Development, Computer Programming, Code Reusability, Object-Relational Mapping, Server Side

    Intermediate · Specialization · 1 - 3 Months

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

  • Explain Black-Box Models: Coursera
  • Explainable AI (XAI): Duke University
  • Introduction to Logic and Critical Thinking: Duke University
  • AI Agent Developer: Vanderbilt University
  • Generative AI Automation: Vanderbilt University
  • Responsible AI, Explainability & Deployment: Coursera
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
  • Validate and Explain Your ML Models: Coursera
  • Interpretable Machine Learning: Duke University
  • Gradient to Production: MLOps & Model Serving: Coursera

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