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  • Mechanistic Interpretability

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Results for "mechanistic interpretability"


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    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    The Hong Kong University of Science and Technology

    The Science of Gastronomy

    Skills you'll gain: Cooking, Food and Beverage, Nutrition and Diet, Meal Planning And Preparation, Biochemistry, Aesthetics, Color Theory, Chemistry, Physiology, Physics, Psychology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    789 reviews

    Beginner · Course · 1 - 3 Months

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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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    SkillUp

    Data Science for Healthcare

    Skills you'll gain: Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Specialization · 1 - 3 Months

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    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

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    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • The Google AI Certificate that powers your career

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    Google Cloud

    Responsible AI for Developers

    Skills you'll gain: Responsible AI, AI Security, Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Data Loss Prevention, Data Security, Cloud Security, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Machine Learning, Artificial Intelligence, Interoperability, Data Governance, Model Evaluation, Model Deployment, Ethical Standards And Conduct, Encryption, Human Centered Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

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    U

    University of Michigan

    Understanding Data: Navigating Statistics, Science, and AI

    Skills you'll gain: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
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    50 reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Interpret Analytics: Boost Engagement & Optimize Content

    Skills you'll gain: Content Performance Analysis, Web Analytics, Multimedia, Web Content, Drive Engagement, Content Marketing, Content Strategy, Content Development and Management, Analytics, Customer experience improvement, Search Engine Optimization, Performance Analysis, Data Analysis, Information Architecture, Process Improvement and Optimization, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

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    Lecturio

    Molecular and Cell Biology

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    E

    EDUCBA

    Analyze Financial Data with Python for Decision Making

    Skills you'll gain: Trend Analysis, Data-Driven Decision-Making, Statistical Analysis, Financial Modeling, Python Programming

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…12

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

  • Interpretable Machine Learning: Duke University
  • The Science of Gastronomy: The Hong Kong University of Science and Technology
  • Explainable AI (XAI): Duke University
  • Data Science for Healthcare: SkillUp
  • Probabilistic Graphical Models: Stanford University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Responsible AI for Developers: Google Cloud
  • Understanding Data: Navigating Statistics, Science, and AI: University of Michigan
  • Interpret Analytics: Boost Engagement & Optimize Content: Coursera

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