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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

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, Spreadsheet Software, Microsoft Excel, Statistical Methods, Descriptive Statistics, Statistics, Algorithms, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    660 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Wrangling, Data Processing, AI Personalization, Machine Learning Methods, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems: Evaluation and Metrics

    Skills you'll gain: Model Evaluation, Decision Support Systems, Business Metrics, Test Data, Performance Metric, Performance Testing, Data Collection, Performance Measurement, Benchmarking, A/B Testing, Predictive Analytics, Product Assortment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    236 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Build and Deploy Chatbots and Recommender Systems

    Skills you'll gain: Model Deployment, Responsible AI, No-Code Development, Business Metrics, Data Ethics, AI Personalization, AI Integrations, Return On Investment, Customer experience improvement, Language Interpretation, Translation, and Studies, Performance Measurement, Key Performance Indicators (KPIs), Cross Platform Development, Continuous Improvement Process, Natural Language Processing, User Feedback, Systems Integration, System Design and Implementation, Machine Learning Algorithms, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Generative AI Agents, Docker (Software), Agentic systems, Generative AI, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    L

    LearnQuest

    Build AI Apps with No-Code Tools

    Skills you'll gain: Dashboard Creation, Data Ethics, Predictive Modeling, No-Code Development, Model Deployment, Data Visualization, Data Presentation, Responsible AI, Data-Driven Decision-Making, Interactive Data Visualization, Advanced Analytics, Product Improvement, Business Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, AI Enablement, Data Cleansing, Business Metrics, Predictive Analytics, Data Architecture

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Introduction to Computer Information Systems

    Skills you'll gain: Systems Development, Systems Development Life Cycle, Agile Methodology, Software Development Life Cycle, Productivity Software, Risk Management Framework, digital literacy, Systems Design, Network Security, Computer Hardware, Agile Project Management, Hardware Architecture, Computer Systems, Software Design, Data Security, Risk Management, System Design and Implementation, TCP/IP, Information Technology, Productivity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    361 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Information​ ​Systems

    Skills you'll gain: Enterprise Resource Planning, Business Systems Analysis, Systems Analysis, Requirements Analysis, Cybersecurity, Business Requirements, Business Analysis, Business Systems, Cyber Attacks, Cloud Computing, Cyber Security Strategy, Cloud Services, IT Management, Change Management, Business Software, Organizational Change, Technology Strategies, Information Technology, Project Management, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Embedded Systems using C

    Skills you'll gain: C (Programming Language), Embedded Systems, Embedded Software, Debugging, System Programming, Systems Architecture, Hardware Architecture, Microarchitecture, Computer Architecture, Data Structures, Computer Hardware, Peripheral Devices, Memory Management, Data Storage

    4.1
    Rating, 4.1 out of 5 stars
    ·
    146 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Advanced Learning Algorithms: DeepLearning.AI
  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
  • Recommender Systems: Evaluation and Metrics: University of Minnesota
  • Build and Deploy Chatbots and Recommender Systems: LearnQuest
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Recommendation Systems on Google Cloud: Google Cloud
  • Build AI Apps with No-Code Tools: LearnQuest
  • Introduction to Computer Information Systems: University of California, Irvine

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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