IBM Watson Discovery Fundamentals

Data sets of any size can be ingested and indexed using the IBM Watson Discovery service. IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology can automatically enrich your data. Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction give your developers, data scientists, and business users insight into your data. By integrating with IBM Watson Knowledge Studio, IBM Watson Discovery can be taught your domain-specific business language (not covered in this course).

This course is designed for business and technical users who want to learn more about IBM Watson Discovery's cognitive capabilities. This is a high-level overview of IBM Watson Discovery's tooling and technology. After completing this course, you will have a better understanding of the different types of enrichments that can be applied to your dataset, as well as how to explore your data using the IBM Watson Discovery user interface.

Who this course is for:

• Technical professionals interested in IBM Watson Discovery
• Business professionals that want to learn about the capabilities of IBM Watson Discovery

Requirements

• No experience with IBM Watson is necessary
• A computer with a modern web browser
• An email address to create a free IBM Cloud Account

Course ratings: 4.2/5

Enroll here: https://www.udemy.com/course/ibm-watson-discovery-fundamentals/