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  • Recommender Systems

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
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Vector Databases, Text Mining, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Nearest Neighbor Collaborative Filtering

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms, Collaborative Software, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    308 reviews

    Mixed · Course · 1 - 3 Months

  • 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, Model Evaluation, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Vector Databases: from Embeddings to Applications

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Algorithms, Semantic Web, Generative AI Agents, Applied Machine Learning, Unsupervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Project · Less Than 2 Hours

  • 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, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

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

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Product Recommender System: OpenAI Text Embedding

    Skills you'll gain: Embeddings, AI Personalization, OpenAI API, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Data Visualization, Data Preprocessing, Python Programming, Dimensionality Reduction

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI for Customer Experience Optimization

    Skills you'll gain: Customer experience improvement, Workflow Management, AI Personalization, Customer Service, Customer Support, Customer Engagement, Generative AI, Customer Communications Management, Emotional Intelligence, Customer Success Management, OpenAI, Salesforce, Customer Data Management, Customer Relationship Management, Artificial Intelligence, Customer Analysis, No-Code Development, De-escalation Techniques, Surveys, Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding User Needs

    Skills you'll gain: Qualitative Research, User Research, Usability Testing, User Centered Design, Research Methodologies, Needs Assessment, Interviewing Skills, Research, Human Computer Interaction, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    545 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Emory University

    AI's Existing Impact

    Skills you'll gain: AI Personalization, Personalized Service, Customer experience improvement, Marketing Psychology, ChatGPT, Business-To-Consumer, Customer Engagement, Consumer Behaviour, Customer Service, Artificial Intelligence, Automation, Marketing, Responsible AI, Marketing Analytics, Algorithms, Content Management

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Cluster Analysis, Association Mining, and Model Evaluation

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Nearest Neighbor Collaborative Filtering: University of Minnesota
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Vector Databases: from Embeddings to Applications: DeepLearning.AI
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Product Recommender System: OpenAI Text Embedding : Coursera
  • Machine Learning for Marketers: University of Colorado System
  • Generative AI for Customer Experience Optimization: Edureka
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Understanding User Needs: University of Michigan

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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