Azure AI Fundamentals: Natural Language Processing
Azure 2020
| Beginner
- 11 Videos | 1h 5m 9s
- Includes Assessment
- Earns a Badge
A powerful feature of machine learning is Natural Language Processing. Natural language processing allows computers to identify and process natural language and can be used for speech-to-text and text-to-speech processing, sentiment analysis, and translation. In this course, you'll learn about the features, uses, and challenges of NLP and the Azure services supporting NLP. You'll also explore intents and entities. In particular, you'll learn to train models using the Azure services for text analytics, speech-to-text, text-to-speech, sentiment analysis, and translation. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe the features of Natural Language Processing (NLP)identify the uses and challenges of NLPdescribe the features of the NLP services provided by Azureidentify NLP features used for handling phase extraction, entity recognition, and intentsconfigure and train a language model
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use the Text Analytics service to extract key phrasesdescribe the features and uses of the Azure Translator Service for translating textuse the Translator Service to translate textuse the Translator Service to translate speechsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 30sUP NEXT
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2.Natural Language Processing8m 28s
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3.Uses of Natural Language Processing8m
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4.Azure NLP Services5m 36s
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5.Intents and Entities6m 6s
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6.Training a Language Model7m 34s
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7.Using the Text Analytics Service8m 50s
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8.Azure Translator Service5m 36s
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9.Using the Translator Service to Translate Text5m 56s
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10.Using the Translator Service to Translate Speech6m 46s
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11.Course Summary47s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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