FURTHER RESOURCES

 

Taking into account the promising developments of augmented reality, facial recognition, 5G networks, and dedicated deep learning processing chips, there are endless possibilities for recommender systems to evolve. Whether recommender systems excite or scare you, the best way to manage their influence and impact is to understand the architecture and algorithms that play on your personal data.

To learn more about developing your expertise in machine learning and data mining, you can find selected learning materials listed on the following pages.

These recommendations are personally curated and not generated by a sophisticated recommendation engine.

 

Recommender Systems: The Textbook

Author: Charu C. Aggarwal

Suggested Audience: All

This textbook is far and away the best resource in the space of recommender systems and well worth the investment ($59 for the e-version and $55 for the hardcopy on Amazon) for anyone who wishes to proceed further in this...