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 stars69.33%
- 4 stars23.79%
- 3 stars5%
- 2 stars1.22%
- 1 star0.64%
來自LAUNCHING INTO MACHINE LEARNING的熱門評論
This course is very helpful to understand the machine learning concepts of various modals, splitting of the data and even training the model for benchmark.
I highly recommend this course to learners who need an exposure on handling huge datasets using google big query SQL and data splitting strategies.
Great presenter. High energy engaging. The material is more difficult and to develop intuition of why the sampling needs to result in constant RMSE didn't come across.
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 :)