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.
À propos de ce cours
Compétences que vous acquerrez
- 5 stars69,42 %
- 4 stars23,73 %
- 3 stars4,99 %
- 2 stars1,20 %
- 1 star0,63 %
Meilleurs avis pour LAUNCHING INTO MACHINE LEARNING
I got a whole idea on how to work on data from scratch. Model selection, generalization, splitting of data and performance metric were few things I learned from this course.
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.
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