Results for "interpretable+and+explainable+models"
Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Engagement, Data Storytelling, Stakeholder Management, Stakeholder Analysis, Data Presentation, Data-Driven Decision-Making, Business Communication, Model Evaluation, Responsible AI
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning
Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Embeddings, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Generative Model Architectures, Model Evaluation, Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Machine Learning, Scientific Visualization, Deep Learning, Artificial Neural Networks
University of Glasgow
Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning, Convolutional Neural Networks, Electocardiography, Artificial Neural Networks
What brings you to Coursera today?
Coursera
Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Technical Communication
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms
Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis
Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning
Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)
In summary, here are 10 of our most popular interpretable+and+explainable+models courses
- Explain Black-Box Models:Â Coursera
- Explainable AI (XAI):Â Duke University
- Validate and Explain Your ML Models:Â Coursera
- Interpretable Machine Learning:Â Duke University
- Explainable Machine Learning (XAI):Â Duke University
- Explainable deep learning models for healthcare - CDSS 3:Â University of Glasgow
- ML: Build, Train, Justify Models:Â Coursera
- Probabilistic Graphical Models:Â Stanford University
- Probabilistic Graphical Models: A Compact Introduction:Â Coursera
- Validate, Analyze, and Monitor ML Models:Â Coursera
