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    • Recommender Systems

    Recommender Systems Courses Online

    Master recommender systems for personalized recommendations. Learn to build and evaluate recommendation algorithms for various applications.

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    Explore the Recommender Systems Course Catalog

    • Status: New
      New
      P

      Packt

      Developing RAG Apps with LlamaIndex and JS

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Node.JS, Application Development, Data Maintenance, Restful API, Web Applications, Development Environment, Large Language Modeling, OpenAI, Generative AI, API Design, Application Deployment, Data Storage, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Comprehensive Introduction to Quantum Mechanics

      Skills you'll gain: Physics, Emerging Technologies, Mechanics, Chemistry, Cryptography, Computer Science, Quantitative Research, Mathematical Modeling

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Clemson University

      Human-Centered Artificial Intelligence

      Skills you'll gain: Artificial Intelligence, Data Ethics, Human Centered Design, Human Computer Interaction, Human Factors, Generative AI, Machine Learning, Machine Learning Algorithms, Research Methodologies, Artificial Neural Networks, Ethical Standards And Conduct, Qualitative Research, Reinforcement Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Data Architect Capstone Project

      Skills you'll gain: Data Migration, Data Architecture, Data Governance, Extract, Transform, Load, Data Integration, Database Design, Enterprise Architecture, Database Architecture and Administration, Data Modeling, Data Strategy, Data Management, Solution Architecture, Data Infrastructure, Data Pipelines, Data Warehousing, Data Security, Data Integrity, Data Storage, Data Quality, Scalability

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Analytics and Big Data

      Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, NoSQL, Database Theory, Databases, Database Development, Machine Learning Algorithms, SQL, Big Data, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Data Analysis, Apache Spark, Data Modeling

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      63 reviews

      Intermediate · Specialization · 3 - 6 Months

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

      Packt

      Mastering Azure Databricks for Data Engineers

      Skills you'll gain: Databricks, CI/CD, Real Time Data, Data Governance, Apache Spark, Microsoft Azure, Data Lakes, Data Architecture, Data Management, Cloud Engineering, Big Data, Secure Coding, Data Storage Technologies, Integration Testing, Automation, Data Infrastructure, Data Pipelines, Restful API, Command-Line Interface, Systems Design

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      借助 Agentspace 加速知识交流

      Skills you'll gain: Google Workspace, Collaborative Software, Application Deployment, Knowledge Transfer, Generative AI Agents, OAuth, API Gateway, Enterprise Application Management, Data Integration, Information Architecture, Operational Efficiency, Data Store, Identity and Access Management, Authentications

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Drug Safety: Pharmacovigilance

      Skills you'll gain: Patient Safety, Clinical Research, Pharmaceuticals, Pharmacology, Safety Assurance, Drug Interaction, Continuous Monitoring, Epidemiology, Risk Analysis, Big Data

      Mixed · Course · 1 - 4 Weeks

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

      Packt

      Terraform Cloud - Automation, Workspaces, and Integration

      Skills you'll gain: Terraform, Amazon Web Services, Infrastructure as Code (IaC), Continuous Deployment, Cloud Management, AWS Identity and Access Management (IAM), Cloud Infrastructure, GitHub, OAuth, Version Control

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Writing Effective Technical Documentation

      Skills you'll gain: Technical Writing, Technical Documentation, Technical Communication, Software Documentation, Software Design Documents, Collaborative Software, Augmented and Virtual Reality (AR/VR), Typography, Multimedia, Proofreading, Design Elements And Principles, GitHub, Application Programming Interface (API), Version Control

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta Web Development Fundamentals

      Skills you'll gain: Django (Web Framework), Responsive Web Design, HTML and CSS, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Unit Testing, MySQL, Debugging, User Interface (UI), Web Development, Web Servers, Test Driven Development (TDD), Web Applications, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Columbia University

      Economics of Money and Banking

      Skills you'll gain: International Finance, Derivatives, Financial Systems, Balance Sheet, Financial Market, Payment Systems, Banking, Capital Markets, Economics, Market Liquidity, Financial Regulation, Finance, Market Dynamics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 3 - 6 Months

    Recommender Systems learners also search

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    1…252627…341

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

    • Developing RAG Apps with LlamaIndex and JS: Packt
    • Comprehensive Introduction to Quantum Mechanics: Packt
    • Human-Centered Artificial Intelligence: Clemson University
    • Data Architect Capstone Project: SkillUp EdTech
    • Data Analytics and Big Data: Illinois Tech
    • Mastering Azure Databricks for Data Engineers: Packt
    • 借助 Agentspace 加速知识交流: Google Cloud
    • Drug Safety: Pharmacovigilance: Johns Hopkins University
    • Terraform Cloud - Automation, Workspaces, and Integration: Packt
    • Writing Effective Technical Documentation: Board Infinity

    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)

    Frequently Asked Questions about Recommender Systems

    Recommender systems are processes that information filtering systems use to identify and predict the amount of interest a user is likely to have in items. Recommender systems then suggest those items that are the most likely to be well received by the user. These systems are mainly used in commercial or retail settings, to show potential customers what previous customers with similar interests also viewed or purchased. The goal of using a recommender system is to increase sales by showing users the items they're most likely to want.‎

    When you learn about recommender systems, you can become more valuable to your employer by helping to increase sales by applying this deep-learning tactic. It can help you become more data literate as a professional in the field of marketing. If you enjoy advanced mathematics or building spreadsheets, learning about recommender systems may prove especially satisfying to you because it involves using algorithms and spreadsheets. Learning how to program recommender systems is important for IT teams and website builders working for commercial companies.‎

    Learning about recommender systems can help you launch a new career in data science or in the IT field. You could work for large companies that want to keep visitors on their sites as long as possible by offering products, music, or videos that site users are likely to appreciate based on previous behaviors. Other career fields you could enter after adding recommender systems to your educational portfolio include data science, data mining, machine learning, and artificial intelligence (AI).‎

    Taking courses on Coursera can help you learn about recommender systems by introducing the information at your current level of study, so you are challenged enough to find the learning exciting. It can also help because you get to progress through the recommender systems courses while covering topics, such as TensorFlow and collaborative filtering, at your own pace on Coursera, so you can finish as quickly or as slowly as you need to thoroughly absorb the material.‎

    Online Recommender Systems courses offer a convenient and flexible way to enhance your knowledge or learn new Recommender Systems skills. Choose from a wide range of Recommender Systems courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Recommender Systems, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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