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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
      V

      Vanderbilt University

      OpenAI GPTs: Creating Your Own Custom AI Assistants

      Skills you'll gain: Generative AI, AI Personalization, ChatGPT, OpenAI, Personalized Service, Artificial Intelligence, Large Language Modeling, Prompt Engineering, Expense Management, Productivity Software, Travel Arrangements, Innovation, Scenario Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      421 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Software Development Lifecycle

      Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Engineering Software, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Requirements Analysis, Lean Methodologies, Lean Manufacturing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Build a Recommendation System

      Skills you'll gain: Software Design, Software Design Patterns, Java, AI Personalization, Object Oriented Programming (OOP), Data Processing, Data Wrangling, Data Analysis, Data Structures, Algorithms, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      644 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Large Language Modeling, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Time Series Analysis and Forecasting, Predictive Modeling, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Data Cleansing, Data Access, Deep Learning, Data Analysis, Predictive Modeling, Applied Machine Learning, Statistical Analysis, Statistical Inference, Statistical Hypothesis Testing, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, Test Case, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Application Deployment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Avionics and Aircraft Systems: Fundamentals

      Skills you'll gain: Basic Electrical Systems, Maintenance, Repair, and Facility Services, Electronics, Control Systems, Electronic Systems, Electronic Components, Electrical Systems, Safety Assurance, Human Factors, Hardware Troubleshooting, Electric Power Systems, Display Devices, Digital Communications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      An Introduction to American Law

      Skills you'll gain: Civil Procedures, Civil Law, Personal Injury Law, Commercial Laws, Lawsuits, Court Systems, Legal Proceedings, Plaintiff, Legal Research, Case Law, Law, Regulation, and Compliance, Criminal Investigation and Forensics, Legal Pleadings, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    Recommender Systems learners also search

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    1…121314…341

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

    • OpenAI GPTs: Creating Your Own Custom AI Assistants: Vanderbilt University
    • Software Development Lifecycle: University of Minnesota
    • Java Programming: Build a Recommendation System: Duke University
    • Generative AI: Prompt Engineering Basics: IBM
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • IBM Machine Learning: IBM
    • Cryptography I: Stanford University
    • Introductory C Programming: Duke University
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Avionics and Aircraft Systems: Fundamentals: Coursera Instructor Network

    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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