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Machine Learning with TensorFlow on Google Cloud Platform

$44.00

(4 customer reviews)
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Prices differ based on Coursera’s programmes. 

Coursera might get your enrollment for free, you only pay for the certificate

What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.

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SKILLS YOU WILL GAIN

TensorflowMachine LearningFeature EngineeringCloud Computing

4 reviews for Machine Learning with TensorFlow on Google Cloud Platform

  1. yves g

    The omnipresent Google branding on software used is truly sufficient publicity in an educational setting, the branded t-shirts and multiple statements are superfluous for a Coursera class. Many statements, especially towards the first videos, create an impression that the technology isn’t superior enough to sell itself as we learn it, but requires a sales pitch even though we already subscribed to the specialization on that particular Machine Learning software.

  2. tejas p

    Best ML course with google style..starts from detail explanation from the coverage of full of presentation with examples.Like the way of coaching..Easy to understand..thank’s google and coursera..

  3. todd l

    This may be the most important Machine Learning course I’ve ever taken. This course is not about theory or technical details, this course is about how to get ML working for you in your business. Google shows us the business processes that they have used and helped other companies use to be successful in getting real value out of ML. If you have tried ML in your business and not gotten any traction, you may have fallen into some of the pitfalls discussed in this course. I look forward enthusiastically to following the recommendations in this course and championing them throughout my company. In this course Google shares real-world solid practical business experience on how to go about the end-to-end process to make profitable use of ML. I give this course my highest rating, 5 STARS!

  4. martin l

    Very good course about production machine learning. I take this course after taking the Andrew Ng’s course, as I found MatLab was not very popular among the community, and tried to learn some Tensorflow stuff. The first course in the specialization is a surprise. Very deep insight on machine learning in real world taught by Googlers. The serverless concept is also fascinating as I am facing issues with running ML stuff on my own. Recommended this course to people who wants to understand the design and business application part of ML.

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