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
-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.
-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.
-This module reviews the content in the course.
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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.
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.
Anonymous completed this course.
Google Cloud Hosting, and or Compute Engine, is just one of many services provided by Google Cloud Platform. They also offer their App Engine, storage, DNS, CDN, and a multitude of other services and products. Google Cloud Platform consists of a set of...
Google Cloud Hosting, and or Compute Engine, is just one of many services provided by Google Cloud Platform. They also offer their App Engine, storage, DNS, CDN, and a multitude of other services and products. Google Cloud Platform consists of a set of physical servers, as well as virtual resources like virtual machines (VMs) that are contained in Google’s data centers around the globe. We use Google Cloud Platform’s multi-regional deployment mode. This means that you can choose a different data center for each of your WordPress websites.
Some notable companies that are using Google Cloud Platform (Compute Engine or App Engine) include Spotify, HSBC, Home Depot, Snapchat, HTC, Best Buy, Philips, Coca Cola, Domino’s, Feedly, ShareThis, Sony Music, and Ubisoft. Even Apple has been seen moving some of its services away from AWS, spending between $400 million and $600 million on Google Cloud Platform; although this couldn’t be independently confirmed.
Ifkiren is taking this course right now.
Bonjour, je suis un étudiant en premier année master, et j'ai j'ai très besoin de ce cours là pour me développer à la coté de datascience et Machine Learning, et j'ai remarqué que ce cours est de bonne qualité et aussi il me permet de me bien développée dans cette coté et de me permet de partir très loin dans ce sens là.