Recommender Systems: Under the Hood of Recommendation Systems
Math | Beginner
- 10 videos | 1h 23m 20s
- Includes Assessment
- Earns a Badge
Users marvel at a system's ability to recommend items they're likely to appreciate. As someone working with machine learning, implementing these recommendation systems (also called recommender systems) can dramatically increase user engagement and goodwill towards your products or brand. Use this course to comprehend the math behind recommendation systems and how to apply latent factor analysis to make recommendations to users. Examine the intuition behind recommender systems before investigating two of the main techniques used to build them: content-based filtering and collaborative filtering. Moving on, explore latent factor analysis by decomposing a ratings matrix into its latent factors using the gradient descent algorithm and implementing this technique to decompose a ratings matrix using the Python programming language. By the end of this course, you'll be able to build a recommendation system model that best suits your products and users.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursesummarize the use cases of recommendation systems and the different techniques applied to build such models, with emphasis on the content-based filtering approachdescribe the intuition behind collaborative filtering, its main advantages, and how ratings matrices, the nearest neighbor approach, and latent factor analysis are involveddecompose a ratings matrix into its latent factorsapply gradient descent to compute the factors of a ratings matrix
compute a penalty for a large number of latent factors when computing the factors of a ratings matrixuse NumPy and Pandas to define a ratings matrix that can be fed into a recommendation systemimplement the gradient descent algorithm to decompose a ratings matrixcompute the predicted ratings given by users for various items by using matrix decompositionsummarize the key concepts covered in this course
IN THIS COURSE
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.Digital badges are yours to keep, forever.
YOU MIGHT ALSO LIKE
PEOPLE WHO VIEWED THIS ALSO VIEWED THESE
Course Final Exam: Advanced Math