This online personalized interactive four day training class can get you there.
This Data Science course will cover theory, practices, and domain to data relationships as part of process improvement using Java/C programming within a High Performance Computing environment. You'll be able to enhance your abilities as a data scientist by learning how to conduct research and development in an integrated environment. You'll learn how to configure large amounts of data for analysis on Compute Unified Device Architect equipment.
Productivity Objectives
After the completion of the High Performance Computing (HPC) Environment Data Science course, you will have:
1. Gained insight into the 'Roles' played by a Data Scientist.
2. Learned the principles of mapping business domains to solution techniques.
3. Explored parallel processing within Compute Unified Device Architecture (CUDA)
4. Analyzed massive data using Java and C in a CUDA environment.
5. Implemented selected Machine Learning Algorithms in a CUDA environment.
In the High Performance Computing Data Science training course you’ll learn
Applied Research
Observation
Theory
Falsification
Activity Based Principles
Business Domain to Data Mapping
Business Domain to Algorithm Mapping
Basic Architecture
Process Flow
Basic CUDA Program Structure
Communication between Java and CUDA C
Hands-on industrial example of data science theory
Hands-on industrial example of program development