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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

    • 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
      I

      IBM

      IBM Back-end JavaScript Developer

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

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

      Beginner · Professional Certificate · 3 - 6 Months

    • S

      Siemens

      Introduction to Model-Based Systems Engineering

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

      4.2
      Rating, 4.2 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 3 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

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      29K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Cybersecurity

      Skills you'll gain: Cybersecurity, Security Controls, Cyber Attacks, Security Management, Cyber Security Strategy, Incident Response, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Network Analysis, Ethical Standards And Conduct

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • 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
      U

      University of Minnesota

      Recommender Systems Capstone

      Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, Technical Design, System Design and Implementation, Solution Design, Statistical Reporting, Machine Learning Algorithms, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      29 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Embedded Systems using C

      Skills you'll gain: C (Programming Language), Embedded Systems, Embedded Software, Debugging, System Programming, Microarchitecture, Computer Architecture, Data Structures, Computer Hardware, Peripheral Devices

      3.9
      Rating, 3.9 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Agentic AI and AI Agents for Leaders

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, Workflow Management, Agentic systems, Productivity, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Business Process Automation, OpenAI, Personalized Service, Large Language Modeling, Automation, Business Transformation, Expense Management, Creative Thinking, Ingenuity, Technology Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Beginner · Specialization · 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

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

    • Recommender Systems with Machine Learning: Packt
    • IBM Back-end JavaScript Developer: IBM
    • Introduction to Model-Based Systems Engineering: Siemens
    • ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier: Vanderbilt University
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Foundations of Cybersecurity: Google
    • Introduction to Operating Systems: Codio
    • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
    • Recommender Systems Capstone: University of Minnesota
    • Embedded Systems using C: EDUCBA

    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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