This course introduces you to one of the main types of Machine Learning: Unsupervised Learning
This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises.
This course introduces learners to Conversational AI and its associated technologies, historical development, contemporary forms and applications, all with a particular emphasis on business.
This course teaches how to prepare, develop, and deploy an IBM Watson Assistant. Applies to Watson Assistant on Cloud and Watson Assistant on Cloud Pak for Data.
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data.
You will learn how Watson OpenScale on the IBM Cloud lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks.
This course will give you an overview on the concept of fairness which helps in building trust in AI and how “AI Fairness 360” can help measure, understand and mitigate AI bias.
IBM Planning Analytics: Design and Develop Models in Planning Analytics Workspace (V2.0.x) – P8362G CR
This course is designed to teach modelers how to build a complete model in IBM Planning Analytics using Planning Analytics Workspace.
This course is designed to teach analysts how to use Planning Analytics to analyze data to discover trends and exceptions, create and customize reports and templates, and contribute data to plans.