Machine Learning for the Enterprise International Conference 2019

Topics

• What a Neural Network is
• The Foundations of AI/ML and Deep Learning
• The Data Preparation Phase of an ML Project
• The Different Types of Learning Models: Structured, Unstructured, Semi-Structured and Reinforcement
• About Detailed Use Cases
• Classification and Regression
• AI/ML and Ethics
• Privacy Issues with ML Applications
• What Software Tooling is Required to Develop ML Features
• Using ML with Cloud Computing
• The Impact of AI/ML on Next Generation Hardware and Software
• Transitioning your Development Team to use Machine Learning