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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 Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Unsupervised Learning, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    190 reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Design That Scales: Sustainable Design Systems

    Skills you'll gain: UI Components, Systems Design, Digital Design, System Design and Implementation, Design Strategies, User Interface and User Experience (UI/UX) Design, Design Software, Scalability, Design and Product, Agile Methodology, Usability Testing, Design Research, Style Guides, Key Performance Indicators (KPIs), UI/UX Research, Product Testing, Software Documentation, System Programming, Prompt Patterns

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Multimodal RAG with GPT – Build Smarter Search & AI Systems

    Skills you'll gain: Retrieval-Augmented Generation, Development Environment, Multimodal Prompts, Embeddings, User Interface (UI), OpenAI API, Generative AI, LLM Application, Program Development, Software Development Tools, Prompt Engineering, UI Components, Image Analysis, AI Workflows, Large Language Modeling, AI Integrations, Artificial Intelligence, Vector Databases, Applied Machine Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Embedded Systems Software and Development Environments

    Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Configuration Management, Git (Version Control System), Version Control, Memory Management, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Program Development, Code Review, Software Technical Review, Software Design, Make.com

    4.5
    Rating, 4.5 out of 5 stars
    ·
    652 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Building Multimodal Search and RAG

    Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, LLM Application, Embeddings, Large Language Modeling, Generative AI, Vector Databases, Image Analysis, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    M

    MathWorks

    Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Systems Architecture, Systems Design, Systems Development, Functional Design, Requirements Analysis, System Requirements, Functional Requirement, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    293 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universitat Autònoma de Barcelona

    Digital Systems: From Logic Gates to Processors

    Skills you'll gain: Computer Architecture, Systems Design, Microarchitecture, System Design and Implementation, Technical Design, Application Specific Integrated Circuits, Digital Design, Design Software, Hardware Architecture, Computer Hardware, Simulations

    4.3
    Rating, 4.3 out of 5 stars
    ·
    858 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Prompt Engineering, Vector Databases, Embeddings, System Monitoring, Application Security, Fine-tuning, Artificial Intelligence, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    193 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming: Build a Recommendation System

    Skills you'll gain: Software Design, Code Reusability, Program Development, Java, Java Programming, AI Personalization, Object Oriented Programming (OOP), Data Preprocessing, Data Structures, Algorithms, File I/O, Hypertext Markup Language (HTML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    658 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Siemens

    Introduction to Model-Based Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Systems Architecture, Engineering Software, Enterprise Modeling, Systems Analysis, Product Lifecycle Management, Process Modeling, Diagram Design, Solution Architecture, System Requirements, Requirements Analysis, Cloud Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Plot (Graphics), Generative AI, Vector Databases, LLM Application, Text Mining, Dimensionality Reduction

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular recommender systems courses

  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Design That Scales: Sustainable Design Systems: Packt
  • Multimodal RAG with GPT – Build Smarter Search & AI Systems: Packt
  • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
  • Building Multimodal Search and RAG: DeepLearning.AI
  • Systems Engineering: MathWorks
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Digital Systems: From Logic Gates to Processors: Universitat Autònoma de Barcelona
  • Retrieval Augmented Generation (RAG): DeepLearning.AI
  • Java Programming: Build a Recommendation System: Duke University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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