Results for "machine learning interpretability"
Duke University
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
University of Glasgow
Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Data Validation, System Monitoring, Continuous Monitoring, Verification And Validation, Predictive Modeling, Performance Metric, A/B Testing, Statistical Methods, Anomaly Detection, Failure Analysis, Debugging, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking
Skills you'll gain: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, Pandas (Python Package), Data Storytelling, Data Presentation, Data Preprocessing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Data Visualization, Data Governance, Data Cleansing, Exploratory Data Analysis, Machine Learning
Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods
What brings you to Coursera today?
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods
University of London
Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms
In summary, here are 10 of our most popular machine learning interpretability courses
- Interpretable Machine Learning:Â Duke University
- Explainable deep learning models for healthcare - CDSS 3:Â University of Glasgow
- Machine Learning:Â DeepLearning.AI
- Training, Evaluating, and Monitoring Machine Learning Models:Â Coursera
- ML Data Pipelines and Communicating AI Insights :Â Coursera
- Explain Black-Box Models:Â Coursera
- Mathematics for Machine Learning:Â Imperial College London
- AI and Machine Learning Essentials with Python:Â University of Pennsylvania
- Apply Machine Learning for Predictive Business Analytics:Â EDUCBA
- Machine Learning:Â University of Washington
