IBM Watson Discovery for Developers – eLearning – W7068GWBT
Course Code: W7068G Brand: Watson Category: Analytics Skill Level: Intermediate Duration: 6.5H Modality:WBT Audience
Analysts, Developers, and others who need to monitor machine learning jobs
• Basic knowledge of cloud platforms, for example IBM Cloud • Basic understanding of enterprise search and natural language
You will learn how Watson Discovery on the IBM Cloud lets business analysts and developers rapidly build cognitive applications that unlock actionable insights. Overview
In this 6 hour web-based training (WBT), you will learn how Watson Discovery lets business analysts and developers rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data — including your own proprietary data, as well as public and third-party data.
Discovery overview: Architecture of Watson Discovery • Describe Discovery architecture in a cloud environment • Describe content creation within Discovery • Describe Discovery data collection runtime flows • Describe Discovery user runtime flows Discovery overview: Administering security in Watson Discovery • List types of security used in Watson Discovery on Cloud • Describe how Discovery service credentials are used • Describe a common use case for securing private data within Discovery Discovery overview: Creating a collection • Instantiate Watson Discovery • Connect to a Discovery instance • Create a collection Configuring a Discovery collection • Configure enrichments for a paticular business case • Use tooling and APIs to configure a Discovery collection • Use Smart Document Understanding to identify fields from documents Ingesting data into a Discovery collection • Describe use cases for using APIs, tooling and data sources to ingest data • Describe the steps for ingesting documents into Discovery • Perform ingestion operations such as add, update and delete documents • Describe ingestion limitations Querying a Discovery collection • Explain simple, combined and aggregate queries • Explain search and structure parameters, operators and aggregation types for querying a collection • Use the Discovery query language for constructing queries Querying a Discovery collection: Relevancy training • Explain the purpose of relevancy training • Detail the process of using relevancy training for improving results Querying a Discovery collection: Passage retrieval • Explain the purpose of passage retrieval • Describe passage retrieval settings and usage • Use passage retrieval to return pointed results
• Discovery overview: Architecture of Watson Discovery • Discovery overview: Administering security in Watson Discovery • Discovery overview: Creating a collection • Configuring a Discovery collection • Ingesting data into a Discovery collection • Querying a Discovery collection • Querying a Discovery collection: Relevancy training • Querying a Discovery collection: Passage retrieval