Results for "interpretable+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, 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: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
Board Infinity
Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Financial Modeling, Advanced Analytics, Decision Intelligence, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing
Skills you'll gain: Decision Intelligence, Responsible AI, Apache Kafka, Data Ethics, Operations Research, Data Pipelines, Model Deployment, Apache Spark, Real Time Data, Revenue Management, Market Dynamics, Supply Chain Planning, Supply Chain, Logistics, Compliance Management, Information Privacy, People Analytics, Regulatory Compliance, General Data Protection Regulation (GDPR), Python Programming
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Data Ethics, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms
What brings you to Coursera today?
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct
Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software
Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
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, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
In summary, here are 10 of our most popular interpretable+machine+learning courses
- Interpretable Machine Learning:Â Duke University
- Explainable AI (XAI):Â Duke University
- Machine Learning and Deep Learning for Software Engineers:Â Board Infinity
- Apply AI & Machine Learning to Financial Forecasting:Â Board Infinity
- Responsible AI, Explainability & Deployment:Â Coursera
- Machine Learning:Â DeepLearning.AI
- Multimodal Intelligence - Vision, Audio & Language in Action:Â Coursera
- Machine Learning Made Easy for Software Engineers:Â Coursera
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- MLOps | Machine Learning Operations:Â Duke University
