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Online Course

Machine Learning for Business Professionals

Google Cloud and Google via Coursera

(2)
279
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 2-4 hours a week
  • Duration 4 weeks long
  • Learn more about MOOCs

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Overview

This course is intended to be an introduction to machine learning for non-technical business professionals. There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this course, that's not the case. In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch.

By the end of this course, you will have learned how to:
• Formulate machine learning solutions to real-world problems
• Identify whether the data you have is sufficient for ML
• Carry a project through various ML phases including training, evaluation, and deployment
• Perform AI responsibly and avoid reinforcing existing bias
• Discover ML use cases
• Be successful at ML

You'll need a desktop web browser to run this course's interactive labs via Qwiklabs and Google Cloud Platform.

>>> 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

Syllabus

Introduction
-This module reviews the learning objectives for the course and introduces technology that will be important for completing labs.

What is Machine Learning?
-This module defines what machine learning is, provides examples of how businesses are using it, contextualizes recent advances in machine learning, and reviews how artificial intelligence raises important ethical questions.

Employing ML
-This module reviews how to do machine learning, including how to label data, train and evaluate models and avoid reinforcing bias.

Discovering ML Use Cases
-This module reviews broad categories of ML use cases in order to jump start your ideation.

How to be successful at ML
-This module reviews what your business must do in order to be successful at ML, including how to acquire data, how to appropriately govern that data, and how to create a culture of innovation.

Summary
-This module reviews the content in the course.

Taught by

Google Cloud Training

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Reviews for Coursera's Machine Learning for Business Professionals Based on 2 reviews

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Anonymous
Anonymous completed this course.
Although the course is all about machine learning, since it's a non-technical course, I strongly recommend for those who want to take a look at how ML engineers are doing and see if they fit in this career. GG designs the course precisely and one unique thing is their Qwiklabs exercises to give students real life experiment of ML. Quizzes are short and easy, which are good points.
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Rajnish P
Rajnish is taking this course right now, spending 4 hours a week on it and found the course difficulty to be medium.
This is very good website to learn .I recommend to all bigners to learn and develop our skill through it's website

So this is amazing to learn and have many course to learn absolutely free for some course also.

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