Results for "cross+validation"
Coursera
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
Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Statistical Modeling, Performance Testing, Machine Learning, Statistics, Predictive Modeling, Analysis, Verification And Validation, Statistical Analysis, Data Analysis, Data-Driven Decision-Making, Classification Algorithms
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: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
Skills you'll gain: Data Validation, Data Quality, Data Governance, Data Integrity, Data Pipelines, Verification And Validation, Test Automation, SQL, Failure Analysis, Scalability, Root Cause Analysis, Metadata Management, Analytical Skills, Statistical Analysis
What brings you to Coursera today?
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: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Machine Learning Software, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement
Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
In summary, here are 10 of our most popular cross+validation courses
- ML Model Training & Validation:Â Coursera
- Performance measures and validation methods:Â 28DIGITAL
- Launch Effective A/B Tests:Â Coursera
- Run Smart A/B Tests:Â Coursera
- Validate and Explain Your ML Models:Â Coursera
- Automate, Analyze, and Validate Data Quality:Â Coursera
- Predict and Validate Regression Models in R:Â Coursera
- Optimize AI: Build & Evaluate Predictive Models:Â Coursera
- Engineer, Validate, and Govern ML Data:Â Coursera
- CompTIA DataX Study Guide:Â John Wiley & Sons
