About this Specialization

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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. > By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <
Learner Career Outcomes
43%
Started a new career after completing this specialization.
29%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 4 months to complete
Suggested 6 hours/week
English
Subtitles: English, French, Portuguese (Brazilian), German, Spanish, Japanese, Portuguese (Brazilian), Russian...
Learner Career Outcomes
43%
Started a new career after completing this specialization.
29%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 4 months to complete
Suggested 6 hours/week
English
Subtitles: English, French, Portuguese (Brazilian), German, Spanish, Japanese, Portuguese (Brazilian), Russian...

There are 5 Courses in this Specialization

Course1

Course 1

How Google does Machine Learning

4.6
stars
6,077 ratings
955 reviews
Course2

Course 2

Launching into Machine Learning

4.6
stars
3,829 ratings
439 reviews
Course3

Course 3

Introduction to TensorFlow

4.4
stars
2,416 ratings
290 reviews
Course4

Course 4

Feature Engineering

4.5
stars
1,536 ratings
167 reviews

Offered by

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Google Cloud

Frequently Asked Questions

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