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 TrialO.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression
Status: NewStatus: Free TrialFractal Analytics
Skills you'll gain: Responsible AI, Data Ethics, AI Security, Data Governance, AI Workflows, Data Transformation, Data Integrity, Data Quality, MLOps (Machine Learning Operations), Risk Modeling, Data Validation, Metadata Management, Data Security
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In summary, here are 3 of our most popular recommender systems courses
- Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
- Design Thinking and Predictive Analytics for Data Products: University of California San Diego
- Data Lineage & Ethical Frameworks for Responsible AI: Fractal Analytics
