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.
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- 5 stars69.36%
- 4 stars23.77%
- 3 stars4.99%
- 2 stars1.21%
- 1 star0.64%
來自LAUNCHING INTO MACHINE LEARNING的熱門評論
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.
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.
I highly recommend this course to learners who need an exposure on handling huge datasets using google big query SQL and data splitting strategies.
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.