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.
Über diesen Kurs
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- 5 stars69,34 %
- 4 stars23,79 %
- 3 stars5,01 %
- 2 stars1,19 %
- 1 star0,64 %
Top-Bewertungen von LAUNCHING INTO MACHINE LEARNING
This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and 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.
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.
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