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  • Interpretability Vs Explainability

Results for "interpretability+vs+explainability"


  • C

    Coursera

    Analyze Logs: Fix LLM Hallucinations

    Skills you'll gain: Technical Communication, LLM Application, Debugging, Root Cause Analysis, Pandas (Python Package), Large Language Modeling, Retrieval-Augmented Generation, Business Metrics, Data Analysis, Analysis, Data Manipulation, Generative AI, Artificial Intelligence, Correlation Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Patient Outcomes: Communicate with Clarity

    Skills you'll gain: Patient Communication, Team Collaboration, Collaboration, Communication Strategies, Communication, Patient Education and Support, AI literacy, Empathy

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Communicating Business Analytics Results

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Storytelling, Data Literacy, Business Analytics, Presentations, Data-Driven Decision-Making, Data Analysis, Analytics, Technical Communication, Case Studies, Predictive Analytics, Correlation Analysis

    ★ 4.5 (521) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Evaluate Employee Comprehension with Canvas

    Skills you'll gain: Discussion Facilitation, Developing Training Materials, Learning Management Systems, Employee Training, Training Programs, Test Tools, Training and Development, Education Software and Technology, Design, Leadership

    ★ 4.7 (9) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Decoding AI: A Deep Dive into AI Models and Predictions

    Skills you'll gain: Generative AI, Model Evaluation, AI literacy, Data Ethics, Data Analysis, Model Training, Responsible AI, Data Literacy, Discussion Facilitation, Artificial Intelligence, Big Data, Predictive Modeling, Machine Learning, Social Impact

    ★ 4.8 (26) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Polski

    Skills you'll gain: AI literacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Model Training, Model Evaluation, Machine Learning, Model Deployment

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Español

    Skills you'll gain: Responsible AI, Data Modeling, Machine Learning Software, Artificial Intelligence, Machine Learning, Machine Learning Methods

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    ★ 4.5 (27) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 日本語版

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

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    How to Describe Data

    Skills you'll gain: Histogram, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Plot (Graphics), Probability & Statistics, Statistical Reporting, Sampling (Statistics), Research, Data Validation

    ★ 4.7 (27) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Evaluate LLMs: Test and Prove Significance

    Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Scientific Visualization, Statistical Hypothesis Testing, Model Deployment, Statistical Analysis, Statistical Software, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Statistical Programming, Matplotlib, Statistical Inference, Statistics, Experimentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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

    Category: Credit offered
    Credit offered
1…6789

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

  • Analyze Logs: Fix LLM Hallucinations: Coursera
  • Patient Outcomes: Communicate with Clarity: Coursera
  • Communicating Business Analytics Results: University of Colorado Boulder
  • Evaluate Employee Comprehension with Canvas: Coursera
  • Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
  • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
  • Interpretable machine learning applications: Part 3: Coursera
  • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
  • How to Describe Data: University of Michigan

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