In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).
Acerca de este Curso
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 stars65,57 %
- 4 stars24,19 %
- 3 stars6,17 %
- 2 stars2,17 %
- 1 star1,87 %
Principales reseñas sobre END-TO-END MACHINE LEARNING WITH TENSORFLOW ON GOOGLE CLOUD
The course is very well managed and very well delivered. The labs gave an opportunity to learn the course from implementation point of view.
Notebooks for labs would not open sometimes. They would just spin and I wouldnt be able to open a new instances (using chrome incognito).
its good than i thought , you will learn clearly what you need to learn . especially tensor flow and ML in particular estimating the baby weight.
The course content is rich and easy to understand. The instructors are also awesome and the quick labs are very helpful to understand the concepts in the practical world.
Acerca de Programa especializado: 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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