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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

  • U

    University of Colorado Boulder

    Statistical Thermodynamics

    Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Mechanical Engineering, Engineering Calculations, Process Engineering, Numerical Analysis, Engineering Analysis, Statistical Methods, Differential Equations, Physics, Engineering, Simulation and Simulation Software, Probability Distribution, Materials science, Mathematical Modeling, Applied Mathematics, Open Source Technology, Simulations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Advanced · Specialization · 3 - 6 Months

  • D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Large Language Modeling, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, AI Product Strategy, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), 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

  • D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Deep Learning, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • B

    Board Infinity

    Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant

    Skills you'll gain: Problem Solving, Vocabulary, Logical Reasoning, Critical Thinking, Deductive Reasoning, Arithmetic, Data Literacy, Analytical Skills, Complex Problem Solving, Grammar, English Language, Data Analysis, Learning Strategies, Trend Analysis, Applied Mathematics, Data Presentation, Verbal Communication Skills, Analysis, Quantitative Research, Estimation

    3.2
    Rating, 3.2 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Validate and Explain Your ML Models

    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, 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
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • T

    The University of Chicago

    Understanding the Brain: The Neurobiology of Everyday Life

    Skills you'll gain: Neurology, Physiology, Anatomy, Behavioral Health, Mental and Behavioral Health, Mental Health Diseases and Disorders, Vital Signs, Control Systems, Coordination, Biology, Communication Systems

    4.9
    Rating, 4.9 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    The Science of Movement

    Skills you'll gain: Kinesiology, Electrophysiology, Rehabilitation, Exercise Science, Human Musculoskeletal System, Sports Medicine, Physical Therapy, Neurology, Physiology, Geriatrics, Coordination, Anatomy, Mechanics, Cell Biology, Biology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 1 - 3 Months

  • L

    Lecturio

    Molecular and Cell Biology

    Skills you'll gain: Molecular Biology, Biochemistry, Cell Biology, Pharmacology, Biology

    Intermediate · Course · 1 - 4 Weeks

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
  • Statistical Thermodynamics: University of Colorado Boulder
  • Explainable AI (XAI): Duke University
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Interpretable Machine Learning: Duke University
  • Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant: Board Infinity
  • Validate and Explain Your ML Models: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Understanding the Brain: The Neurobiology of Everyday Life: The University of Chicago

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