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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: 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 Systems, Cloud Computing, Cloud Services, IT Management, Change Management, Information Technology, Organizational Change, Technology Strategies, Process Flow Diagrams, System Implementation, User Requirements Documents, Data Modeling, Enterprise Architecture, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Technical Support Fundamentals

      Skills you'll gain: Desktop Support, Computer Hardware, Technical Support, Software Installation, Operating Systems, Help Desk Support, Technical Documentation, Hardware Troubleshooting, Software Documentation, End User Training and Support, Computer Networking, Information Technology, Computer Architecture, Technical Communication, Linux, Microsoft Windows

      4.8
      Rating, 4.8 out of 5 stars
      ·
      160K reviews

      Beginner · 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, Git (Version Control System), Version Control, System Programming, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Design, Hardware Architecture, Debugging, Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      639 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Professional Networking, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Containerization, Web Services, Interviewing Skills, Python Programming, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Systems Engineering

      Skills you'll gain: Systems Engineering, Failure Analysis, Model Based Systems Engineering, Engineering Management, Requirements Management, Scope Management, Design Reviews, Project Scoping, Risk Management, Root Cause Analysis, Test Engineering, Program Management, Engineering Practices, Cost Management, Requirements Analysis, Contract Management, Product Lifecycle Management, Project Risk Management, Organizational Leadership, Risk Management Framework

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Real-Time Embedded Systems

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Control Systems, Reliability, Software Systems, Embedded Software, Performance Tuning, Systems Architecture, Hardware Architecture, Software Architecture, Verification And Validation, Software Design, Debugging, System Design and Implementation, Hardware Design, System Programming, Service Level, Operating Systems, OS Process Management, Linux

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      105 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Back-end JavaScript Developer

      Skills you'll gain: Istio, Software Development Life Cycle, Node.JS, HTML and CSS, Containerization, Kubernetes, Server Side, MongoDB, Application Deployment, Cloud-Native Computing, NoSQL, Software Architecture, Development Environment, Restful API, OpenShift, Git (Version Control System), Cloud Applications, GitHub, Ajax, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      Recommender Systems with Machine Learning

      Skills you'll gain: Data Manipulation, AI Personalization, Applied Machine Learning, Data Processing, Supervised Learning, Data Cleansing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      793 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier

      Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Generative AI, Agentic systems, Productivity, AI Personalization, OpenAI, Expense Management, Artificial Intelligence, Personalized Service, Expense Reports, Large Language Modeling, Workflow Management, Google Workspace, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Business Process Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Specialization · 3 - 6 Months

    Recommender Systems learners also search

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    1…456…342

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

    • Information​ ​Systems: University of Minnesota
    • Technical Support Fundamentals: Google
    • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
    • Google IT Automation with Python: Google
    • Data Science: Johns Hopkins University
    • Introduction to Systems Engineering: University of Colorado Boulder
    • Real-Time Embedded Systems: University of Colorado Boulder
    • IBM Back-end JavaScript Developer: IBM
    • Deep Learning: DeepLearning.AI
    • Recommender Systems with Machine Learning: Packt

    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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