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Recommender Systems Courses

Recommender systems courses can help you learn collaborative filtering, content-based filtering, and hybrid approaches to personalization. You can build skills in data analysis, user behavior modeling, and algorithm evaluation. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing machine learning algorithms, as well as frameworks for managing large datasets and user interactions.


Popular Recommender Systems Courses and Certifications


  • J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

    ★ 4.5 (24) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Encryption and Decryption using C++

    Skills you'll gain: Cryptography, Encryption, Application Development, Security Engineering, C and C++, C++ (Programming Language)

    ★ 4.2 (16) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    CompTIA Project+ (PK0-005)

    Skills you'll gain: Scope Management, Cost Management, Project Schedules, Budget Management, Project Scoping, Procurement, Project Risk Management, IT Management, Project Management, Purchasing, Change Control, Software Development Methodologies, Project Management Software, Vendor Management, Systems Development Life Cycle, Change Management, Risk Management, Communication Strategies, Quality Assurance, Stakeholder Engagement

    ★ 5 (9) · Intermediate · Specialization · 3 - 6 Months

  • A

    Arizona State University

    Rapid Prototyping and Tooling

    Skills you'll gain: Engineering Design Process, Engineering Drawings, Basic Electrical Systems, Prototyping, Drafting and Engineering Design, Mechanical Drawings, Computer-Aided Design, Electronics, Technical Drawing, Electronic Components, Electronic Systems, Robotics, Manufacturing Processes, Electrical Systems, Electronics Engineering, Electrical Wiring, Materials science, Manufacturing and Production, Mechanical Engineering, Production Process

    ★ 4.9 (55) · Beginner · Specialization · 3 - 6 Months

  • N

    Northeastern University

    Evaluating the Quality of Healthcare Delivery

    Skills you'll gain: Value-Based Care, Managed Care, Quality Assurance, Health Systems, Data Quality, Health Policy, Scientific Methods, Health Equity, Health Disparities, Patient-centered Care, Medicare, Risk Analysis, Data Integrity

    ★ 4.7 (38) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Non-Equilibrium Applications of Statistical Thermodynamics

    Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Mechanical Engineering, Process Engineering, Analytical Chemistry, Engineering Calculations, Numerical Analysis, Differential Equations, Physics, Applied Mathematics, Simulation and Simulation Software, Energy and Utilities

    ★ 4.4 (83) · Advanced · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Jenkins for Beginners

    Skills you'll gain: Jenkins, Continuous Integration, CI/CD, Command-Line Interface, Continuous Delivery, Devops Tools, Continuous Deployment, Systems Administration, DevOps, Software Configuration Management, Software Installation, Virtual Machines, Server Administration, Configuration Management, Data Integrity, Authentications

    ★ 3.5 (25) · Beginner · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    Design of Transmission Line: Modelling and Performance

    Skills you'll gain: Mathematical Modeling, Matlab, High Voltage, Electrical Engineering, electromagnetics, Simulation and Simulation Software, Electric Power Systems, Engineering Calculations, Electrical Power, Mathematical Software, Environmental Engineering, Design

    ★ 4.7 (43) · Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms

    ★ 4.2 (10) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning

    ★ 4.5 (95) · Advanced · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Current-Mode Control

    Skills you'll gain: Power Electronics, Control Systems, Electrical Engineering, Simulation and Simulation Software, Electrical Power, Electronics, Simulations, Electronics Engineering, Mathematical Modeling

    ★ 4.9 (22) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    ★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

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

  • Foundations of Neural Networks: Johns Hopkins University
  • Encryption and Decryption using C++: Coursera
  • CompTIA Project+ (PK0-005): Packt
  • Rapid Prototyping and Tooling: Arizona State University
  • Evaluating the Quality of Healthcare Delivery: Northeastern University
  • Non-Equilibrium Applications of Statistical Thermodynamics: University of Colorado Boulder
  • Jenkins for Beginners: KodeKloud
  • Design of Transmission Line: Modelling and Performance: L&T EduTech
  • Introduction to Neural Networks: Johns Hopkins University
  • Semantic Segmentation with Amazon Sagemaker: Coursera

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Bayesian Statistics (6)
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