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
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- 5 stars69.37%
- 4 stars23.76%
- 3 stars5%
- 2 stars1.21%
- 1 star0.64%
TOP REVIEWS FROM LAUNCHING INTO MACHINE LEARNING
I highly recommend this course to learners who need an exposure on handling huge datasets using google big query SQL and data splitting strategies.
A great course to boost your confidence on practicing ML. It also teaches you some fresh skills like repeatable dataset partitioning techniques using just SQL.
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.
Overall it was great, and very instructive. However, the Short History of ML was a little bit confusing with too many unexplained words and too many details too early.
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