Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricacies of implementing recommendation systems using graphs in this 42-minute technical talk by Marco Ghilardi from QuasiScience, presented at the Data Science Festival MayDay event 2024. Delve into the details of how graph-based implementations can enhance transparency and provide deeper insights into various data aspects. Follow the progression and lessons learned during a real project development, making the content both memorable and technically rich. Designed for technical practitioners, this session covers the intersection of network analysis and recommendation systems, offering practical insights and cutting-edge ideas in the field of data science. Gain valuable knowledge on how to leverage graph structures to create more effective and interpretable recommendation systems, while understanding the challenges and solutions encountered in real-world applications.
Syllabus
Networks and Recommendation Systems - Data Science Festival
Taught by
Data Science Festival