Learning node embeddings in transaction networks /
"Presented by Jesse Barbour, Chief Data Scientist at Q2ebanking. Due to the specialized and sophisticated nature of many commercially focused financial products offered by banks and fintechs, building recommender systems around those products is especially difficult. Taking inspiration from the...
Clasificación: | Libro Electrónico |
---|---|
Formato: | Electrónico Video |
Idioma: | Inglés |
Publicado: |
[Austin, Texas] :
Data Science Salon,
2020.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
How to build recommender systems with ML and AI /
por: Kane, Frank, et al.
Publicado: (2019) -
Applied Recommender Systems with Python : Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques /
por: Kulkarni, Akshay, et al.
Publicado: (2023) -
Big data recommender systems.
Publicado: (2019) -
Building a recommendation system with Surprise and Fast.ai.
Publicado: (2021) -
Recommendation engines and mobile gaming /
Publicado: (2019)