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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
      M

      Macquarie University

      Cyber Response and Recovery

      Skills you'll gain: Incident Response, Computer Security Incident Management, Security Management, Disaster Recovery, Cyber Risk, Threat Detection, Cyber Security Policies, Crisis Management, Threat Management, Business Continuity, Corporate Communications, Internal Communications, Root Cause Analysis, Continuous Improvement Process, Communication Planning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Pengantar Keamanan di Dunia AI

      Skills you'll gain: Threat Modeling, Threat Management, Security Strategy, Data Security, Personally Identifiable Information, Security Controls, Infrastructure Security, Security Engineering, Artificial Intelligence, Cyber Risk, Risk Management Framework

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GC - 한국어

      Skills you'll gain: Data Pipelines, Google Cloud Platform, Real Time Data, Data Processing, Big Data, Advanced Analytics, Scalability, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Agentspace로 더 신속하게 지식 교환하기

      Skills you'll gain: Google Workspace, OAuth, Productivity Software, Intranet, Generative AI Agents, Collaborative Software, Authentications, Application Deployment, Enterprise Application Management, Information Architecture, Application Programming Interface (API), Brainstorming, Identity and Access Management, Data Access, Data Store, Web Applications

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Network Security - 日本語版

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Network Security, Proxy Servers, Network Monitoring, Intrusion Detection and Prevention, Google Cloud Platform, Firewall, Cloud Security, Network Troubleshooting, Infrastructure Security, Identity and Access Management, Threat Detection, Cloud Infrastructure

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      R Programming Essentials with Microsoft Tools

      Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Manipulation, Software Documentation, R Programming, Microsoft Copilot, Microsoft Visual Studio, Program Development, Data Import/Export, Statistical Analysis, Development Environment, Integrated Development Environments, Descriptive Statistics, Statistical Programming, Data Cleansing, Data Analysis, Programming Principles, Debugging, Data Structures

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Master of Science in Information Systems

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Power Electronics Graduate Certificate

      Skills you'll gain: Power Electronics, Debugging, Tensorflow, Computer Vision, Display Devices, Control Systems, Computer Displays, Image Analysis, Electronic Systems, PyTorch (Machine Learning Library), Systems Design, Artificial Neural Networks, Applied Machine Learning, USB, Electrical Engineering, Semiconductors, Electrical Systems, Computer Programming Tools, Electrical Power, Technical Design

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Colorado Boulder

      Master of Science in Electrical and Computer Engineering

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Failure Analysis, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Goal Setting, Proposal Writing

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Industrial Internet of Things Graduate Certificate

      Skills you'll gain: Machine Learning Algorithms, Real-Time Operating Systems, Big Data, User Research, User Experience Design, Product Development, User Experience, User Interface and User Experience (UI/UX) Design, Usability, Power Electronics, Verification And Validation, Embedded Software, UI/UX Research, Analytics, Human Computer Interaction, Control Systems, Internet Of Things, User Interface (UI), Embedded Systems, Machine Controls

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      透過 Agentspace 加速交流知識

      Skills you'll gain: Google Workspace, Collaborative Software, OAuth, Information Management, Data Management, Data Sharing, Generative AI Agents, Data Access, Productivity Software, Cloud Storage, Content Management Systems, Artificial Intelligence, Application Programming Interface (API), Identity and Access Management

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Semiconductor Photonics Graduate Certificate

      Skills you'll gain: Semiconductors, Power Electronics, Display Devices, Control Systems, Computer Displays, Electronic Systems, Systems Design, Technical Design, Electronic Components, Electronics, Electrical Engineering, Electronics Engineering, Basic Electrical Systems, Electric Power Systems, Electrical Power, Systems Analysis, Equipment Design, Performance Tuning, Simulations, Engineering, Scientific, and Technical Instruments

      Credit offered

      Graduate Certificate · 6 - 12 Months

    Recommender Systems learners also search

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    1…339340341…342

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

    • Cyber Response and Recovery: Macquarie University
    • Pengantar Keamanan di Dunia AI: Google Cloud
    • Building Resilient Streaming Analytics Systems on GC - 한국어: Google Cloud
    • Agentspace로 더 신속하게 지식 교환하기: Google Cloud
    • Networking in Google Cloud: Network Security - 日本語版: Google Cloud
    • R Programming Essentials with Microsoft Tools: Microsoft
    • Master of Science in Information Systems: Northeastern University
    • Power Electronics Graduate Certificate: University of Colorado Boulder
    • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
    • Industrial Internet of Things Graduate Certificate: University of Colorado Boulder

    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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