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.
- 5 stars69.41%
- 4 stars23.73%
- 3 stars5%
- 2 stars1.20%
- 1 star0.64%
来自LAUNCHING INTO MACHINE LEARNING的热门评论
Nice course, kind of introductory but necessary for someone who has no knowledge about Machine Learning basics and most relevant algorithms so far.
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!
Good course, covering all the basics about machine learning and most importantly, everything that surrounds an ml project and you need to take into account to make your ml project successful.
I highly recommend this course to learners who need an exposure on handling huge datasets using google big query SQL and data splitting strategies.