Recommendation Systems on Google Cloud
Recommendation Systems on Google Cloud
These skills were generated by A.I. Do you agree this course teaches these skills?
In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.
Información del curso
Objetivos
- Devise a content-based recommendation engine.
- Implement a collaborative filtering recommendation engine.
- Build a hybrid recommendation engine with user and content embeddings.
- Use reinforcement learning techniques for contextual bandits in the context of recommendations.
Requisitos previos
• Prior familiarity with foundational machine learning concepts as covered in Machine Learning on Google Cloud.
• Familiarity with cloud concepts and fundamentals, networking, security.
• Basic proficiency with a scripting language such as Python as covered in the Google Python Crash course.
• Basic proficiency with SQL.
• Familiarity with Python and TensorFlow.
Público
Aspiring machine learning data analysts, data scientists, data engineers, and programmers interested in learning how to apply machine learning to recommendation systems in practice.
Idiomas disponibles
English
¿Qué debo hacer cuando finalice este curso?
Después de finalizar el curso, puede consultar contenido adicional en su ruta de aprendizaje o explorar el catálogo de aprendizaje.
¿Qué insignias puedo obtener?
Cuando complete un curso, obtendrá una insignia de finalización. Puede ver las insignias en su perfil y compartirlas en sus redes sociales.
¿Le interesa realizar este curso con uno de nuestros socios a pedido?
Explore el contenido de Google Cloud en Coursera y Pluralsight.
¿Prefiere aprender con un instructor?