The Machine Learning, Say What? training course is designed to demonstrate the possibilities and challenges around machine learning.
The course begins by examining the product life cycle for machine learning systems, with some definitions around machine learning. Next, it describes the strengths and weaknesses of machine learning and an examination of what goes into making a machine learning product. The course concludes with discussions of good and bad machine learning in practice.
Purpose
|
Promote an in-depth understanding of the challenges and opportunities of machine learning. |
Audience
|
Executives and leaders looking to better understand the potentials and challenges of machine learning. |
Role
| Business Analyst - Data Engineer - Data Scientist - DevOps Engineer - Project Manager - Q/A - Software Developer - System Administrator - Technical Manager - Web Developer |
Skill Level
| Introduction |
Style
| Targeted Topic |
Duration
| 1 Day |
Related Technologies
| Machine Learning Training | Artificial Intelligence |
Productivity Objectives
- Explain what machine learning is
- List the 3 major types of machine learning
- Describe what goes into making a machine learning model
- Discuss some strengths and weaknesses of machine learning
- Understand the risks and challenges associated with machine learning