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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
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Flask (Web Framework), Exploratory Data Analysis, Feature Engineering, Data Wrangling, Unit Testing, ChatGPT, Data Analysis, Jupyter, Artificial Intelligence, Deep Learning, OpenAI, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents and Agentic AI in Python: Powered by Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, OpenAI, Productivity, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Large Language Modeling, Creative Thinking, Ingenuity, Brainstorming, Software Development Tools, Application Development, Prototyping, Persona (User Experience), Business Logic, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Cybersecurity & Privacy for Leaders

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Crisis Management, Productivity, Incident Response, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Business Ethics, Information Privacy, Personally Identifiable Information, Cross-Functional Collaboration, Threat Detection, Expense Management, Threat Modeling, Creative Thinking, Cyber Security Strategy

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, System Design and Implementation, Electronic Systems, Embedded Systems, Application Specific Integrated Circuits, Electrical and Computer Engineering, Semiconductors, Schematic Diagrams, Program Development, Technical Design, Software Development, Functional Design, Integrated Development Environments, Verification And Validation, Computer Architecture, Computer Engineering, Hardware Architecture, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Intelligence (BI) Analyst

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, IBM DB2, Tableau Software, Relational Databases, Star Schema, Data Visualization Software, Interactive Data Visualization, Regression Analysis, Data-Driven Decision-Making, Excel Formulas, Microsoft Excel

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Electric Power Systems

      Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Energy and Utilities, Basic Electrical Systems, Electrical Equipment, Electrical Safety, Low Voltage, High Voltage, Environmental Engineering, Emerging Technologies, Reliability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Introduction to Operating Systems

      Skills you'll gain: File Systems, Operating Systems, OS Process Management, C (Programming Language), System Programming, Virtualization, Data Integrity, Debugging, Systems Design, Performance Tuning, Distributed Computing, Data Storage, Virtual Machines, Command-Line Interface, Computer Systems, Programming Principles, Computer Hardware, Virtualization and Virtual Machines, Scalability, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      258 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Automation

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Generative AI, Document Management, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, OpenAI, Large Language Modeling, Data Analysis, Organizational Skills, Risk Management Framework, Computer Vision, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Siemens

      Introduction to Model-Based Systems Engineering

      Skills you'll gain: Unified Modeling Language, Systems Engineering, Software Systems, Systems Design, Systems Architecture, Systems Analysis, Simulations, Solution Architecture, Requirements Analysis, Verification And Validation, Hardware Architecture

      4.2
      Rating, 4.2 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Systems Thinking Basics

      Skills you'll gain: Systems Thinking, Complex Problem Solving, Analysis, Business Systems Analysis, Strategic Thinking, Organizational Change, Decision Making, Collaboration, Data Visualization, Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM IT Support

      Skills you'll gain: Cloud Computing Architecture, Technical Support, Technical Support and Services, Cloud Services, Peripheral Devices, Cybersecurity, Computing Platforms, Hardware Troubleshooting, IT Service Management, Cloud Security, Cloud Technologies, Cloud Infrastructure, Network Protocols, Software Development Life Cycle, Cyber Attacks, Professional Networking, Cloud Storage, Information Technology, Cloud Computing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Recommender Systems learners also search

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    1…567…342

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

    • IBM Generative AI Engineering: IBM
    • AI Agents and Agentic AI in Python: Powered by Generative AI: Vanderbilt University
    • Generative AI Cybersecurity & Privacy for Leaders: Vanderbilt University
    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • IBM Business Intelligence (BI) Analyst: IBM
    • Electric Power Systems: University at Buffalo
    • Parallel, Concurrent, and Distributed Programming in Java: Rice University
    • Introduction to Operating Systems: Codio
    • Generative AI Automation: Vanderbilt University
    • Introduction to Model-Based Systems Engineering: Siemens

    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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