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コース概要
Introduction
Overview of AutoML Features and Architecture
- Google’s ML ecosystem
- AutoML line of products
Working With Google’s Machine Learning Ecosystem
- Applications for AutoML products
- Challenges and limitations
Evaluating Content Using AutoML Natural Language
- Preparing datasets
- Creating and deploying models
- Text and document training (classification, extraction, analysis)
Classifying Images Using AutoML Vision
- Labeling images
- Training and evaluating models
- AutoML Vision Edge
Creating Translation Models Using AutoML Translation
- Preparing datasets (source and target language)
- Creating and managing models
- Testing models
Making Predictions from Trained Models
- Analyzing documents
- Image prediction
- Translating content
Exploring Other AutoML Products
- AutoML Tables for structured data
- AutoML Video Intelligence for videos
Troubleshooting
Summary and Conclusion
要求
- Basic knowledge of data analytics
- Familiarity with machine learning
Audience
- Data scientists
- Data analysts
- Developers
7 時間
お客様の声 (2)
It was a really good training course, well prepared and explained by the trainer with great hands on experience on GCP.
Mircea
コース - Google Cloud Platform Basics and Management
解決策と実用化で対応します。
Agnieszka - AIRBUS HELICOPTERS POLSKA SP. Z O.O.
コース - Google AdWords: Beginner to Advanced
機械翻訳
