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 stars69.38%
- 4 stars23.75%
- 3 stars5%
- 2 stars1.21%
- 1 star0.64%
TOP REVIEWS FROM LAUNCHING INTO MACHINE LEARNING
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!
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.
I highly recommend this course to learners who need an exposure on handling huge datasets using google big query SQL and data splitting strategies.
Good course, covering all the basics about machine learning and most importantly, everything that surrounds an ml project and you need to take into account to make your ml project successful.
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