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Results for "mechanistic interpretability"
Duke University
Skills you'll gain: Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Python Programming, Applied Machine Learning, Natural Language Processing, Deep Learning, Business Ethics, Visualization (Computer Graphics), Artificial Neural Networks, Computer Vision, Data-Driven Decision-Making, Information Privacy
- Status: Free
University of Alberta
Skills you'll gain: Scientific Methods, General Science and Research, Research Methodologies, Research, Research Design, Peer Review, Media and Communications, Correlation Analysis, Probability & Statistics, Statistical Inference
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
Duke University
Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Natural Language Processing, Artificial Neural Networks, Computer Vision
University of Glasgow
Skills you'll gain: Deep Learning, Classification And Regression Tree (CART), Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Artificial Neural Networks, Data Processing
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
- Status: Free
The University of Chicago
Skills you'll gain: Psychology, Life Sciences, Anatomy, Behavioral Health, Non-Verbal Communication, Respiration, Mental and Behavioral Health Specialties, Vital Signs, Disabilities, Medical Terminology, Medical Science and Research
Coursera Project Network
Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Analysis, Machine Learning, Data-Driven Decision-Making, Predictive Analytics, Machine Learning Algorithms
- Status: Free
University of Manchester
Skills you'll gain: Process Engineering, Life Sciences, Pharmaceuticals, Manufacturing and Production, Manufacturing Processes, Medical Science and Research, Environment, Process Development, Engineering, Emerging Technologies, Regulatory Compliance, Scalability
Icahn School of Medicine at Mount Sinai
Skills you'll gain: Life Sciences, Medical Science and Research, Systems Engineering, Bioinformatics, Mathematical Modeling, Pharmaceuticals, Simulations, Experimentation, Statistical Methods, Predictive Modeling
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Predictive Modeling, Network Model, Probability & Statistics, Network Analysis, Statistical Inference, Statistical Machine Learning, Sampling (Statistics), Natural Language Processing, Statistical Methods, Algorithms
In summary, here are 10 of our most popular mechanistic interpretability courses
- Explainable AI (XAI):Â Duke University
- Science Literacy :Â University of Alberta
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Explainable Machine Learning (XAI):Â Duke University
- Explainable deep learning models for healthcare - CDSS 3:Â University of Glasgow
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Understanding the Brain: The Neurobiology of Everyday Life:Â The University of Chicago
- Interpretable Machine Learning Applications: Part 1:Â Coursera Project Network
- Industrial Biotechnology:Â University of Manchester