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, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, Predictive Analytics, Predictive Modeling
Status: Free TrialDeepLearning.AI
Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms
Status: NewStatus: Free TrialPackt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Model Evaluation, Decision Support Systems, Business Metrics, Performance Metric, Data Collection, Performance Measurement, Benchmarking, Data Validation, A/B Testing, User Feedback, Predictive Analytics, Product Assortment
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
Status: Free TrialSkills you'll gain: Model Evaluation, Data Preprocessing, Feature Engineering, AI Personalization, Applied Machine Learning, Data Science, Machine Learning, Scalability, Data Manipulation, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Machine Learning Methods, Predictive Modeling, Text Mining, Development Environment, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, NumPy
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
28DIGITAL
Skills you'll gain: Model Evaluation, Data Ethics, Systems Design, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Data Preprocessing, Predictive Modeling, Data-Driven Decision-Making, Applied Machine Learning
Status: PreviewSungkyunkwan University
Skills you'll gain: Scalability, Deep Learning, AI Personalization, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Model Evaluation
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Reliability, Software Systems, Performance Tuning, Embedded Software, Control Systems, Hardware Architecture, Systems Architecture, Software Design, Debugging, Software Architecture, Verification And Validation, Hardware Design, System Design and Implementation, Linux, System Programming, Code Review, Systems Engineering, Real Time Data
Status: NewStatus: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Multimodal Prompts, Tool Calling, Embeddings, Generative AI Agents, Vector Databases, User Interface (UI), Generative AI, AI Workflows, AI Personalization, Prompt Engineering, Data Visualization, Image Analysis, Application Development, Augmented Reality, Text Mining, Application Design
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: Packt
- Recommender Systems: Evaluation and Metrics: University of Minnesota
- Recommender Systems Complete Course Beginner to Advanced: Packt
- Mastering Recommendation Systems with Python: EDUCBA
- IBM AI Engineering: IBM
- Machine Learning: DeepLearning.AI
- Basic Recommender Systems: 28DIGITAL
- Recommender Systems: Sungkyunkwan University
