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 stars69.41%
- 4 stars23.72%
- 3 stars5.01%
- 2 stars1.20%
- 1 star0.63%
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.
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
Amazing course. For a beginner like me, it was a shot in the arm. Excellent presentation very lively and engaging. Hope to see the instructor soon in a another course. Thanks so much. I learned a lot.
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.
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