Hands-On Deep Learning Deep Dive is a fast-paced, hands-on four day course that teaches students the modern skills and concepts that reside in the mathematical side of ML / DL, providing attendees with a solid platform for next-level, continued learning in this space based on role or goal.
Learning Objectives
This “skills-centric” course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern “on-the-job” modern machine learning experience into every classroom and hands-on project. Students will learn about and work with: Mathematical Concepts Machine Learning Concepts Machine Learning Algorithms Overview Deep Learning Deep Neural Networks
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):