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Launching into Machine Learning
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.
This Course Includes
pluralsight
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4 hour 5 minutes 
english
Online - Self Paced
Expanded Courses
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About Launching into Machine Learning
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.
What You Will Learn?
- Introduction : 0mins.
- Introduction : 0mins.
- Get to Know Your Data: Improve Data through Exploratory Data Analysis : 56mins.
- Get to Know Your Data: Improve Data through Exploratory Data Analysis : 52mins.
- Machine Learning in Practice : 45mins.
- Machine Learning in Practice : 45mins.
- Training AutoML Models Using Vertex AI : 30mins.
- Training AutoML Models Using Vertex AI : 30mins.
- BigQuery Machine Learning: Develop ML Models Where Your Data Lives : 30mins.
- BigQuery Machine Learning: Develop ML Models Where Your Data Lives : 30mins.
- Optimization : 57mins.
- Optimization : 57mins.
- Generalization and Sampling : 28mins.
- Generalization and Sampling : 28mins.
- Summary : 0mins.
- Summary : 0mins.