In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
Über diesen Kurs
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars67,11 %
- 4 stars21,02 %
- 3 stars6,26 %
- 2 stars2,90 %
- 1 star2,68 %
Top-Bewertungen von RECOMMENDATION SYSTEMS WITH TENSORFLOW ON GCP
I would like that in the course provide for more readings to keep it.
I enjoyed this course too much, usually every company wants a recommended system, but the courses or examples available on the web are few. Very well explained many theoretical aspects.
kudos to team gcp, practical guide to implementing a recommendation system and helpful overview of gcp tml ools
Had a great experience and learned a lot except some of the labs in the course are misplaced.
Über den Spezialisierung Advanced Machine Learning on Google Cloud
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
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