The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
About this Course
Skills you will gain
- 5 stars69.42%
- 4 stars23.73%
- 3 stars4.99%
- 2 stars1.20%
- 1 star0.63%
TOP REVIEWS FROM LAUNCHING INTO MACHINE LEARNING
Interesting course, and the technical details during week 3 and 4 were highly appreicated. The labs could have been a bit better put together, but all round happy with this course!
Very good course for beginners!
-1 star because I find labs to be less informational and practical and course to be more theoretical that practical!
This course gave me a good overview of how to work with GCP for ML and also helped in covering a bit of knowledge gaps that I had when I learnt things on my own.
Just stick with it! The course is easy to follow, and the labs get you into tweaking ML related code without having to know the underlying math. LOVE IT!
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