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.
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- 2 stars2,07 %
- 1 star1,88 %
Principales reseñas sobre END-TO-END MACHINE LEARNING WITH TENSORFLOW ON GCP
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.
Pretty good start to the specialization, by reviewing the topics of the previous specialization! Looking forward to the rest of the specialization!
The coding is a bit complicated but it's worth putting your time to understand it. And Google cloud platform is quite easy and fun to use.
This is a great start for advanced ml on gcp. The course labs require that you code the TODO parts, and therefore helps you gain the required coding knowledge.
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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