In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
이 강좌에 대하여
학습자 경력 결과
학습자 경력 결과
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 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
RECOMMENDATION SYSTEMS WITH TENSORFLOW ON GCP의 최상위 리뷰
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.
Amongst all tensorflow courses this is probably the most useful. Using AI to make better and automated recommendations can benefit most businesses.
This course and specialization are a great way to learn how to use the Google Cloud Platform with Tensorflow to build cutting edge systems.
Some of the labs had no work for me to do whatsoever - just run the notebook as is. Other than that, great course. Cheers!
Advanced Machine Learning with TensorFlow on Google Cloud Platform 특화 과정 정보
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.
자주 묻는 질문
등록 전에 강좌를 미리 볼 수 있나요?
등록하면 무엇을 이용할 수 있나요?
강좌 수료증을 언제 받게 되나요?
이 강좌를 청강할 수 없는 이유는 무엇인가요?
Is financial aid available?
Qwiklabs Terms of Service
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.