Recommender Systems Courses
Recommender systems courses can help you learn collaborative filtering, content-based filtering, and hybrid approaches to personalization. You can build skills in data analysis, user behavior modeling, and algorithm evaluation. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing machine learning algorithms, as well as frameworks for managing large datasets and user interactions.
Popular Recommender Systems Courses and Certifications
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, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Algorithms, System Design and Implementation, Solution Design, Data-Driven Decision-Making, Predictive Modeling
Status: Free TrialDeepLearning.AI
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Deep Learning, Tensorflow, Keras (Neural Network Library), Supervised Learning, Dimensionality Reduction, Algorithms
Status: Free TrialSkills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis
Status: NewStatus: Free TrialPackt
Skills you'll gain: AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Performance Metric, Performance Measurement, Benchmarking, Usability Testing, A/B Testing, User Feedback, Analysis, Data-Driven Decision-Making, Predictive Analytics, Diversity and Inclusion
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, Machine Learning Algorithms, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration
What brings you to Coursera today?
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning, Reinforcement Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Deep Learning, Feature Engineering, Artificial Intelligence
Status: PreviewSungkyunkwan University
Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Data Structures
EIT Digital
Skills you'll gain: Data Ethics, System Requirements, Responsible AI, System Design and Implementation, Machine Learning Algorithms, Innovation, Algorithms, Predictive Modeling, Data-Driven Decision-Making, Applied Machine Learning, Statistical Machine Learning, Performance Tuning
Status: Free TrialSkills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, PySpark, Computer Vision, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Jupyter, Applied Machine Learning, Machine Learning, Python Programming, Data Science
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java
Searches related to recommender systems
In summary, here are 10 of our most popular recommender systems courses
- Recommender Systems: University of Minnesota
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- Recommender Systems Complete Course Beginner to Advanced: Packt
- Recommender Systems: Packt
- Recommender Systems: Evaluation and Metrics: University of Minnesota
- Mastering Recommendation Systems with Python: EDUCBA
- Machine Learning: DeepLearning.AI
- Recommender Systems: Sungkyunkwan University
- Basic Recommender Systems: EIT Digital
- Building Recommender Systems with Machine Learning and AI: Packt
