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 stars69.34%
- 4 stars23.79%
- 3 stars5.01%
- 2 stars1.19%
- 1 star0.64%
来自LAUNCHING INTO MACHINE LEARNING的热门评论
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.
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.
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!
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.