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Вернуться к End-to-End Machine Learning with TensorFlow on GCP

End-to-End Machine Learning with TensorFlow on GCP, Google Cloud

4.5
Оценки: 345
Рецензии: 58

Об этом курсе

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** 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). One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Prerequisites: Basic SQL, familiarity with Python and TensorFlow SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Advanced Machine Learning with TensorFlow on GCP’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today! >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

Лучшие рецензии

автор: SA

Mar 03, 2019

Definitely adds a unique perspective on thinking about machine learning systems at scale. This course is suitable for Data Scientists, Data Engineers and Machine Learning Engineers.

автор: KT

Oct 07, 2018

A very helpful course, we were able to practically apply all the knowledge we received from the First Specialization. I feel much more confident to do ML after this course!

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Рецензии: 58

автор: Gregory R. Gray Jr.

Apr 13, 2019

Thumbs Up!

автор: Björn Skutlarek

Apr 11, 2019

excellent

автор: Parul Garg

Apr 07, 2019

Very Helpful

автор: Luis Eduardo Oliveros

Apr 04, 2019

Excelente

автор: Amitava Deb

Mar 31, 2019

This is one of the best courses i have done. It is an essential course if you want to build real life machine learning Models

автор: Hicham AMINE

Mar 17, 2019

Good course with complete development cycle

автор: Abdul Rehman Yousaf

Mar 14, 2019

Great course!

автор: David Katz

Mar 12, 2019

Good: Course structure = great, content is relevant and interesting

Bad: Labs do not always work (e.g. deprecated GCP modules incompatible with apache-beam), code for labs already contains answers... would be nice to have "lab" file and "answer" file to make learning more explicit, also, the white guy with the mustache should rerecord his videos.... the cadence is distracting and he does not go into as much depth as Lak

автор: Mark Davey

Mar 07, 2019

Good overview course

автор: Serhan Aya

Mar 03, 2019

Definitely adds a unique perspective on thinking about machine learning systems at scale. This course is suitable for Data Scientists, Data Engineers and Machine Learning Engineers.