Machine Learning Workshop

Course Benefit:

• Deploying machine learning applications to solve business problems in your organization.
• Develop and promote a strategy for implementing machine learning in order to achieve data maturity.
• How to bridge the gap between technical- and business-oriented teams through communication and collaborative partnerships

Course Objectives:

• An understanding of the capabilities of machine learning (ML),and the knowledge to formulate your business problem to solve it effectively.

• An effective process for deploying, monitoring and evaluating the ML model, as well as assessing its relevance, and the uses of different ML models.
• The basis of a foundation of knowledge to collect, process and utilize data efficiently — ethically and securely — to achieve organizational data maturity.
• The ability to communicate the business case for your ML approach, and guide your coding and ML efforts in the right direction.

Course Outlines:

Day 1

Solving Business Problems With Machine Learning
Use machine learning to solve problems in an organization.

Ethics and Due Process
Explore the ethical implications of using data to solve a business problem.

Measuring and Evaluating Model Performance
Determine the performance of machine learning models.

Day 2

Deep Learning for Business
Consider the appropriate applications of deep learning in business.

Model Productionalization
Examine the factors affecting a model’s readiness for deployment.

Justifying an Organizational Machine Learning Approach
Communicate a machine learning approach to a wider audience.