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Getting Started with the Expert.ai NL Platform (EPA02)


Description
Welcome to the expert.ai NL Platform tutorials. In this course, you will see how to:
- upload and navigate your datasets by creating and browsing Corpora projects;
- quickstart Categorization and Extraction projects leveraging the NL Platform Hybrid Auto-ML capabilities;
- create Workflow projects and build your pipelines turning them into scalable APIs
- develop explainable Symbolic models ground up leveraging the expert.ai Studio tool

Our objective is to help you hit the ground running in creating Machine Learning and Symbolic based projects from start to finish.

Let's get started!

Content
  • !!! Download the training material FIRST !!!
  • UNIT 1 - CORPORA
  • 1.0 Welcome and Overview
  • 1.1 Use Case and Corpora
  • 1.2 Creating a Corpora
  • 1.3 Corpora Text Exploration I
  • 1.4 Warrant
  • 1.5 Taxonomy Work
  • 1.6 Corpora Text Exploration II
  • 1.7 Corpus Preparation
  • 1.8 Recap and Conclusion
  • Unit 1 Quiz
  • Unit 2 - Categorization
  • 2.1 Welcome and Overview
  • 2.2 Categorization Review
  • 2.3 Use Case and Dataset
  • 2.4 Creating a Categorization Project
  • 2.5 Creating a Test Library
  • 2.6 Searching Documents
  • 2.7 Annotating Documents
  • 2.8 Running an Experiment / Publishing a Model
  • 2.9 Conclusion
  • Unit 2 Quiz
  • Unit 3 - Extraction
  • 3.1 Welcome and Overview
  • 3.2 Extraction Review
  • 3.3 Extraction Use Case and Dataset
  • '3.4 Creating an Extraction Project
  • 3.5 Creating a Test Library
  • 3.6 Exploring Documents
  • 3.7 Annotating Documents
  • 3.8 Running an Experiment / Publishing a Model
  • 3.9 Conclusion
  • Unit 3 Quiz
  • Unit 4 - THESAURUS
  • 4.1 Welcome and Overview
  • 4.2 Thesaurus Review
  • 4.3 Use Case and Dataset
  • 4.4 Creating a Thesaurus Project
  • 4.5 Improving a Thesaurus
  • 4.6 Exploring Documents
  • 4.7 Annotating Documents
  • 4.8 Conclusion
  • Unit 4 Quiz
  • Unit 5 - Symbolic models - Introduction to expert.ai Studio
  • 5.1 Welcome and overview
  • 5.2 Download Studio and create a new project
  • 5.3 Tool windows and Knowledge Graph's features
  • 5.4 Recap and conclusion
  • Unit 5.1 - Categorization
  • 5.5 Welcome and overview
  • 5.6 Categorization review
  • 5.7 Use case and dataset
  • 5.8 Creating a categorization project
  • 5.9 The annotation process
  • 5.10 Basic attributes and operators
  • 5.11 Creating a report
  • 5.12 Wrap up and conclusion
  • Unit 5.2 - Extraction
  • 5.13 Welcome and overview
  • 5.14 Extraction review
  • 5.15 Creating an extraction project
  • 5.16 The annotation process
  • 5.17 Basic attributes
  • 5.18 Creating a report
  • 5.19 Wrap up and conclusion
  • Unit 5.3 - Report analysis and fine-tuning
  • 5.20 Welcome and overview
  • 5.21 Test set upload review and analysis
  • 5.22 How to interpret the analysis
  • 5.23 Fine-tuning
  • 5.24 Studio model deployment
  • 5.25 Wrap up and conclusion
  • Unit 5 Quiz
  • UNIT 6 - WORKFLOW
  • 6.1 Welcome and Overview
  • 6.2 Use Case and Dataset
  • 6.3 Dashboard and API Key
  • 6.4 Creating a Workflow
  • 6.5 Publishing a Workflow
  • 6.6 Testing a Workflow
  • 6.7 Conclusion
  • Unit 6 Quiz
  • COURSE FEEDBACK AND CERTIFICATION
  • Course Feedback Survey
  • Certification Test
Completion rules
  • All units must be completed
  • Leads to a certificate with a duration: 1 year
Prerequisites