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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
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £1900 online delivery, based on a group of 2 delegates, £600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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