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, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods
Status: Free TrialPackt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Machine Learning Methods, Data Wrangling, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Autoencoders, Data Cleansing, Dimensionality Reduction, Machine Learning
Status: PreviewSungkyunkwan University
Skills you'll gain: Scalability, Deep Learning, Machine Learning Methods, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms
Status: NewStatus: PreviewSkillsBooster Academy
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Generative AI, LLM Application, Large Language Modeling, Performance Tuning, Data Architecture, Data Integrity, Data Collection, System Monitoring, Document Control, Data Infrastructure, Document Management, Data Preprocessing, Data Transformation, Technical Documentation, Data Structures, Data Management, Classification Algorithms, Regulatory Documents
Status: Free TrialSkills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Feature Engineering, AI Personalization, Data Processing, Machine Learning Methods, Applied Machine Learning, Data Science, Machine Learning, Scalability, Machine Learning Software, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Text Mining, Predictive Modeling, Taxonomy, Development Environment
Status: Free TrialDeepLearning.AI
Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, AI Personalization, Artificial Neural Networks, Deep Learning, Anomaly Detection, Model Optimization, Dimensionality Reduction
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms
28DIGITAL
Skills you'll gain: Model Evaluation, Data Ethics, AI Personalization, Systems Design, System Requirements, Responsible AI, Machine Learning Algorithms, Machine Learning Methods, Innovation, Algorithms, Data Preprocessing, Predictive Modeling, Applied Machine Learning, Performance Tuning, Fine-tuning
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
28DIGITAL
Skills you'll gain: AI Personalization, Applied Machine Learning, Dimensionality Reduction, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Model Optimization, Model Training, Machine Learning, Model Evaluation, Algorithms, Context Management
Status: Free TrialSkills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation
In summary, here are 10 of our most popular recommender systems courses
- Recommender Systems: University of Minnesota
- Recommender Systems: Packt
- Recommender Systems: Sungkyunkwan University
- Fundamentals of Gen AI Retrieval Dynamics: SkillsBooster Academy
- Mastering Recommendation Systems with Python: EDUCBA
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- IBM AI Engineering: IBM
- Machine Learning: DeepLearning.AI
- Basic Recommender Systems: 28DIGITAL
- Recommender Systems Complete Course Beginner to Advanced: Packt
