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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このコースについて
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Coursera for Businessを試す学習内容
Describe how to improve data quality and perform exploratory data analysis
Build and train AutoML Models using Vertex AI and BigQuery ML
Optimize and evaluate models using loss functions and performance metrics
Create repeatable and scalable training, evaluation, and test datasets
習得するスキル
- Tensorflow
- Bigquery
- Machine Learning
- Data Cleansing
貴社では、従業員に需要のあるスキルを訓練させることによって利益を得ることができるでしょうか?
Coursera for Businessを試す提供:
シラバス - 本コースの学習内容
Introduction
Get to Know Your Data: Improve Data through Exploratory Data Analysis
Machine Learning in Practice
Training AutoML Models Using Vertex AI
BigQuery Machine Learning: Develop ML Models Where Your Data Lives
Optimization
Generalization and Sampling
Summary
レビュー
- 5 stars69.41%
- 4 stars23.72%
- 3 stars5.01%
- 2 stars1.20%
- 1 star0.63%
LAUNCHING INTO MACHINE LEARNING からの人気レビュー
I highly recommend this course to learners who need an exposure on handling huge datasets using google big query SQL and data splitting strategies.
Tensorflow Playground is awesome to understand some of the theory of Deep Neural Nets !
Theory on creating/managing models was good too.
The labs with BigQuery were not that interesting too
Amazing course. For a beginner like me, it was a shot in the arm. Excellent presentation very lively and engaging. Hope to see the instructor soon in a another course. Thanks so much. I learned a lot.
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.
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