This course introduces machine learning on Google Cloud Platform.
- What machine learning actually means
- The types of problems machine learning can solve
- The basics of how machine learning works
- Anyone interested in machine learning
- A basic understanding of computers
Hello, and welcome to “Introduction to Machine Learning on Google Cloud Platform”. My name is Daniel Mease and I’ll be taking you through this course. I am a trainer at Cloud Academy with over 20 years of software and web development experience.
This course is intended for:
Anyone interested in machine learning
By completing this course, you will learn:
What machine learning actually means
The types of problems machine learning can solve
The basics of how machine learning works
There are no prerequisites beyond a basic understanding of computers.
Feedback on our courses is valuable, both to us as trainers and our future students. If you have any criticisms or suggestions for improvement, we would greatly appreciate it if you would share those with us.
Please note that, when this video was recorded, all course information was accurate. Google is constantly updating its products and services as part of its ongoing drive to innovate. As a result, over time, minor discrepancies may appear. Here at Cloud Academy, we strive to keep our content up to date in order to provide the best training available.
So, if you notice any information that is outdated, please contact firstname.lastname@example.org. This will allow us to make all necessary fixes to the course during its next release cycle.
Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.
Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.
When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.