Results for "computational+reproducibility"
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
LearnQuest
Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Model Optimization, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, Model Training, Machine Learning, Data Science
Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric
Skills you'll gain: Configuration Management, Experimentation, Software Documentation, Software Versioning, Software Configuration Management, Collaborative Software, Testability, Workflow Management, Development Environment
Skills you'll gain: Tidyverse (R Package), Rmarkdown, Predictive Modeling, Model Evaluation, File Management, R (Software), Data Governance, Responsible AI, Data Manipulation, R Programming, Research Reports, Metadata Management, Data Quality, Predictive Analytics, Data Wrangling, Data Ethics, Business Research, Statistical Reporting, Market Research, Statistical Analysis
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Fine-tuning, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing
What brings you to Coursera today?
Multiple educators
Skills you'll gain: Code Review, Version Control, GitHub, Package and Software Management, CI/CD, Continuous Integration, Open Source Technology, Code Reusability, Development Environment, Continuous Deployment, Secure Coding, Application Deployment, Software Development Tools, Docker (Software), Containerization, Data Sharing, Git (Version Control System), Automation, Software Documentation, Technical Documentation
Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Skills you'll gain: Git (Version Control System), Model Training, Version Control, AI Workflows, Jupyter, Memory Management, Package and Software Management, Resource Utilization, Virtual Environment
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
University of Toronto
Skills you'll gain: Bioinformatics, Network Analysis, Laboratory Reports, Molecular Biology, Research Reports, Molecular, Cellular, and Microbiology, Biology, R (Software), Correlation Analysis, Informatics, Data Visualization Software, Biotechnology, Scientific Visualization, Network Model, Data Analysis Software, Data Synthesis, Life Sciences, Data Analysis, Microbiology, Analysis
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, Applied Machine Learning, Model Optimization, Data Pipelines, Responsible AI, Statistical Modeling
In summary, here are 10 of our most popular computational+reproducibility courses
- Gradient to Production: MLOps & Model Serving:Â Coursera
- AI for Scientific Research:Â LearnQuest
- Predict and Validate Regression Models in R:Â Coursera
- Reproduce and Evaluate AI Research Workflows:Â Coursera
- Market Research Data Analysis and Governance with R:Â Coursera
- Building and Optimizing AI Models :Â Coursera
- Enhancing Reproducible Science with GitHub and Docker:Â Johns Hopkins University
- Building, Optimizing, and Validating Machine Learning Models:Â Coursera
- Optimize ML Dev: Version, Reproduce, and Save:Â Coursera
- Production ML Engineering: Packaging, APIs, and Testing:Â Coursera
