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
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.
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!
Tensorflow Playground is awesome to understand some of the theory of Deep Neural Nets !
Theory on creating/managing models was good too.
The labs with BigQuery were not that interesting too
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.
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