How Google does Machine Learning (Coursera)

How Google does Machine Learning (Coursera)
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How Google does Machine Learning (Coursera)
What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models.

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Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.


What You Will Learn

- Frame a business use case as a machine learning problem.

- Gain a broad perspective of machine learning and where it can be used

- Convert a candidate use case to be driven by machine learning

- Recognize biases that machine learning can amplify.

Course 1 of 5 in the Machine Learning with TensorFlow on Google Cloud Platform Specialization.


Syllabus


WEEK 1

Introduction to Course

Introduces the specialization and the Google experts who will be teaching it.

What it means to be AI first

In this module, you explore building a data strategy around machine learning.


WEEK 2

How Google does ML

This module is about the organizational know-how Google has acquired over the years.

Inclusive ML

This module will discuss why machine learning systems aren’t fair by default and some of the things you have to keep in mind as you infuse ML into your products.


WEEK 3

Python Notebooks in the cloud

Understand the role of AI Platform Notebooks

Summary

Review the core ML topics that this specialization will cover.



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Course Auditing
42.00 EUR/month

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.