Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 lectures (2h 2m) | Size: 890 MB
Recommender Systems: Build a Customized Recommendation System or Recommendation engine using Deep Learning
What you'll learn
• Learn the about deep learning of recommender systems
• Learn the about benefits and challenges of deep learning in recommender systems
• Learn about the mechanism of generic deep learning-based approaches for recommender system
• Learn the basic neural network models for recommendations
• Learn the theoretical aspects of neural collaborative filtering and variational auto encoders for collaborative filtering
• Learn the hands-on practice for the implementation of deep learning-based recommender system
• Learn about the implementation of two-tower model and its implementation for development of recommender systems
• Learn the implementation of TensorFlow recommenders for the development of recommender systems
• And much more.
Requirements
• No prior knowledge of Recommender Systems, Deep Learning, Data Analysis or Mathematics is needed. We will start from the basics and gradually build your knowledge in the subject
• A willingness to learn and practice
• Only basic Python is required
Description
Comprehensive Course Description:Have you ever thought how YouTube adjust your feed as per your favorite content?Ever wondered! Why is your Netflix recommending you your favorite TV shows?Have you ever wanted to build a customized deep learning-based recommender system for yourself?If Yes! Then this is the course you are looking for.You might have searched for many relevant courses, but this course is different!This course is a complete package for the beginners to learn the basics of recommender systems, its applications and building it from scratch by using deep...
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