Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
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
Requirements
- Basic knowledge of data analytics
- Familiarity with machine learning
Audience
- Data scientists
- Data analysts
- Developers
7 Hours
Testimonials (1)
Responses with solutions and practical use.