Results for "run experiments and train models"
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Keras (Neural Network Library), Performance Tuning, Benchmarking, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Failure Analysis, Deep Learning, PyTorch (Machine Learning Library), Supervised Learning
Status: NewStatus: Free TrialSkills 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
Status: NewStatus: Free TrialSkills you'll gain: Predictive Modeling, Statistical Machine Learning, Performance Analysis, Performance Metric, Performance Improvement
Status: NewStatus: Free TrialKodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring
Status: NewStatus: Free TrialCoursera
Skills you'll gain: A/B Testing, Data-Driven Decision-Making, Business Analytics, Statistical Methods, Statistical Hypothesis Testing, Analytics, Statistics, Estimation, Decision Making, Data Analysis, Statistical Inference, Statistical Analysis, Business, Sample Size Determination
Status: NewStatus: Free TrialCoursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
What brings you to Coursera today?
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Business Analytics, Sample Size Determination, Statistical Analysis, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Business Communication
Status: NewStatus: Free TrialSkills you'll gain: Configuration Management, Experimentation, Software Documentation, Data Maintenance, Analysis, Workflow Management
Status: NewStatus: Free TrialSkills 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
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Scalability
In summary, here are 10 of our most popular run experiments and train models courses
- Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
- Gradient to Production: MLOps & Model Serving: Coursera
- Optimize AI: Build & Evaluate Predictive Models: Coursera
- Deploy ML Models to Production: KodeKloud
- Launch Effective A/B Tests: Coursera
- ML Model Training & Validation: Coursera
- ML: Build, Train, Justify Models: Coursera
- Building, Optimizing, and Validating Machine Learning Models: Coursera
- Run Inference & Hypothesis Tests: Coursera
- Reproduce and Evaluate AI Research Workflows: Coursera
