Up and Running Google AutoML and AI Platform
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Description
Contents
Reviews
Language
English
ISBN
9789388511926
Cover Page
Title Page
Copyright Page
Dedication Page
About the Authors
About the Reviewer
Acknowledgements
Preface
Errata
Table of Contents
1. Introduction to Artificial Intelligence
Structure
Objectives
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Applications of Machine Learning
Natural Language Processing
NLP algorithms
Conclusion
2. Introducing the Google Cloud Platform
Structure
Objectives
Introduction
AutoMLNatural Language
AutoML Text & Document Classification
AutoML Entity Extraction
AutoML Sentiment Analysis
AutoML Tables
AutoML Translation
AutoML Video Intelligence
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking
AutoML Vision
AutoML Vision Classification
AutoML Vision Object Detection
AI platform
TensorFlow
Eager Execution
Graph Execution
Estimators
Creation of GCP account
Creating a Google Cloud Storage bucket
Conclusion
3. AutoML Natural Language
Structure
Objectives
Issue Categorization System
Data Analysis
Model Training
Model Evaluation
Model Prediction
REST API configuration
For Windows server
For Linux server
Sentiment Analysis System
Data Analysis
Model Training
Model Evaluation
Model Prediction
REST API configuration
Conclusion
4. Google AI Platform
Structure
Objectives
Introduction
Design of an Issue Categorization system using Google’s AI platform
Data Analysis
Model Training
Using your local machine
Using AI platform
Model Prediction
REST API configuration
Conclusion
5. Google Data Analysis, Preparation, and Processing Services
Structure
Objectives
Introduction
Problem statement
Google BigQuery
Google Dataprep
Data Analysis
Google Dataproc
Model Training and Evaluation
Model Prediction
Conclusion
Index
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