Results for "run experiments and train models"
Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
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
Skills you'll gain: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Machine Learning Software, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement
Coursera
Skills you'll gain: A/B Testing, Data-Driven Decision-Making, Statistical Methods, Statistical Hypothesis Testing, Analytics, Statistics, Estimation, Decision Making, Data Analysis, Analytical Skills, Statistical Inference, Statistical Analysis, Business, Sample Size Determination, Data Collection
Coursera
Skills you'll gain: A/B Testing, Email Marketing, Test Planning, Strategic Planning, Data-Driven Marketing, Campaign Management, Content Optimization, Performance Analysis, Program Development, Performance Improvement, Data-Driven Decision-Making, Data Analysis
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, 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?
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
Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking
Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Verification And Validation, Workflow Management, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy
Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation
Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing
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
- Launch Effective A/B Tests: Coursera
- Run Smart A/B Tests: Coursera
- Building and Optimizing AI Models : Coursera
- ML: Build, Train, Justify Models: Coursera
- Training, Evaluating, and Monitoring Machine Learning Models: Coursera
- Building, Optimizing, and Validating Machine Learning Models: Coursera
- Deploy ML Models to Production: KodeKloud
