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).
À propos de ce cours
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 stars65,48 %
- 4 stars24,27 %
- 3 stars6,20 %
- 2 stars2,16 %
- 1 star1,86 %
Meilleurs avis pour END-TO-END MACHINE LEARNING WITH TENSORFLOW ON GOOGLE CLOUD
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.
Would be nicer if students can use the google cloud with less restrictions. I got blocked multiple times from trying the codes in the videos..
Overall, the materials are great and very interesting!
awesome learning experience fro the teacher from google. thanks to coursera and google for providing me such a good lesson which will be beneficial for my upcoming future and research work
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.
À propos du Spécialisation 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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