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Results for "recommender systems: evaluation and metrics"
Status: Free TrialUniversity of Minnesota
Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Technical Design, System Design and Implementation, Predictive Modeling
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Performance Metric, Data Collection, Performance Measurement, Benchmarking, Usability Testing, A/B Testing, Analysis, Data-Driven Decision-Making, Predictive Analytics, Customer Engagement
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, SPSS, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Cleansing, Data Analysis, Statistical Methods, Data Visualization Software, Data Processing
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, AI Personalization, Data Processing, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Data Cleansing, Scalability, Data Validation, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Integration
Status: NewStatus: Free TrialSkills you'll gain: Competitive Analysis, Market Research, User Story, Competitive Intelligence, Usability, Persona Development, Microsoft Copilot, Product Development, Market Analysis, New Product Development, Product Management, Product Lifecycle Management, Design Thinking, Product Roadmaps, User Interface (UI) Design, User Experience Design, Regulation and Legal Compliance, Data Ethics, Data Governance, Compliance Training
Status: NewStatus: PreviewSkills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software
What brings you to Coursera today?
Status: NewStatus: PreviewSkills you'll gain: People Analytics, Data Processing, Workforce Management, Advanced Analytics, Process Validation
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering, Data Validation
Status: NewStatus: Free TrialSkills you'll gain: AI Personalization, Data Manipulation, Data Cleansing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Scikit Learn (Machine Learning Library), Data Integration, Python Programming, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: Data Processing, Scalability, Data Manipulation, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Python Programming, Machine Learning Algorithms, Unsupervised Learning, NumPy, Exploratory Data Analysis
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, Customer Analysis, Customer Insights, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Manipulation
Status: Free TrialSkills you'll gain: Media Planning, Spreadsheet Software, A/B Testing, Return On Investment, Marketing Analytics, Key Performance Indicators (KPIs), Google Analytics, Pivot Tables And Charts, Performance Measurement, Digital Marketing, Data Presentation, Data Visualization, Google Ads, Marketing Budgets, Marketing, Web Analytics and SEO, Data Analysis, Stakeholder Communications
In summary, here are 10 of our most popular recommender systems: evaluation and metrics courses
- Recommender Systems: University of Minnesota
- Recommender Systems: Evaluation and Metrics: University of Minnesota
- SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
- Mastering Recommendation Systems with Python: EDUCBA
- Crafting User-First Product Experiences in the AI Era: Microsoft
- Customer Segmentation with K-Means: Model & Visualize: EDUCBA
- R: Design & Evaluate Random Forests for Attrition: EDUCBA
- Excel: Apply & Evaluate Unsupervised Clustering: EDUCBA
- Project on Recommendation Engine - Book Recommender: EDUCBA
- Project on Recommendation Engine - Advanced Book Recommender: EDUCBA
