One Day
Online Learning
Artificial intelligence (AI), machine learning (ML), predictive analytics (PA), and how they differ from other related concepts. Models, what they mean, and how they are used in ML and PA. Different PA models (algorithms), with an understanding of where and when each algorithm can be applied. A case study demonstrating an application of a specific PA algorithm—namely, classification trees. WE RECOMMEND USING GOOGLE CHROME.
Artificial intelligence (AI), machine learning (ML), predictive analytics (PA), and how they differ from other related concepts. Models, what they mean, and how they are used in ML and PA. Different PA models (algorithms), with an understanding of where and when each algorithm can be applied. A case study demonstrating an application of a specific PA algorithm—namely, classification trees. WE RECOMMEND USING GOOGLE CHROME.
Anyone who is interested in learning about Artificial Intelligence and Machine Learning
After completing this course, the learner should be able to:
1) Define and differentiate between artificial intelligence (AI) and machine learning (ML) and related buzz words.
2) Identify problems in their business that are well-suited for AI and ML.
3) Identify types of AI and ML models that address a specific business problem.