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  • Mechanistic Interpretability

Results for "mechanistic+interpretability"


  • C

    Coursera

    Interpret Alpha & Beta with Regression

    Skills you'll gain: Portfolio Risk, Technical Communication, Return On Investment, Portfolio Management, Regression Analysis, Performance Analysis, Risk Analysis, Investment Management, Market Data, Business Metrics, Verbal Communication Skills, Statistical Analysis, Oral Expression, Equities, Data Storytelling

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Explain Black-Box Models

    Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • S

    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
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • D

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    The University of Tokyo

    Visual and Auditory Perception: How We See and Hear

    Skills you'll gain: Neurology, Electrophysiology, Medical Imaging, Psychology, Radiology, Computer Vision, Diagnostic Radiology, Scientific Visualization, Biomedical Engineering, Speech Language Pathology, Digital Signal Processing

    Beginner · Course · 1 - 4 Weeks

  • C

    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

What brings you to Coursera today?

  • D

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • I

    Immersify

    Interactive 3D Anatomy & Physiology: A Gamified Experience

    Skills you'll gain: Respiration, Human Musculoskeletal System, Cardiology, Respiratory Care, Pulmonology, Hemodynamics, Clinical Practices, Cell Biology, Physiology, Oxygen Therapy, Anatomy, Endocrinology, Diagnostic Tests, Patient Evaluation, Nephrology, Orthopedics, Pulmonary Function Testing, Cardiac Dysrhythmia, Kinesiology, Interactive Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    72 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    Adaptability and Resiliency

    Skills you'll gain: Adaptability, Resilience, Personal Attributes, Professional Development, Action Oriented, Overcoming Obstacles, Self-Awareness, Cognitive flexibility, Growth Mindedness, Personal Development, Relationship Building, Plan Execution, Composure, Productivity, Planning, Behavioral Management, Positivity, Optimism

    4.7
    Rating, 4.7 out of 5 stars
    ·
    791 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    571 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    Universitat Politècnica de València

    Introducción a la mejora genética vegetal

    Intermediate · Course · 1 - 3 Months

1234…9

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

  • Interpret Alpha & Beta with Regression: Coursera
  • Explain Black-Box Models: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Interpretable Machine Learning: Duke University
  • Visual and Auditory Perception: How We See and Hear: The University of Tokyo
  • Validate and Explain Your ML Models: Coursera
  • Explainable AI (XAI): Duke University
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Interactive 3D Anatomy & Physiology: A Gamified Experience: Immersify
  • Adaptability and Resiliency: University of California, Davis

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