Python Intermediate for AI
- Course Description
- Learning Objectives
- Who should take this course
- Textbook
- Instructor
- Instructor Biography
This PYR102 course is designed to learn basic AI application. This course will provide you with training environment to get used to basic AI concept and methodology such as classification, clustering, dimensionality reduction, regression modeling, supervised learning and unsupervised learning in Machine Learning, Deep learning, and Neural Network utilizing Python software work environment. Python software are very popular in AI application and there are lots of advantages for your learning and skill enhancement. One of the key hot trends now a day is about increasing data volumes, computer speed, and Internet thanks to IT innovation and now is 3rd AI innovation era. You will see more AI application in all business area and the knowledge and skill for AI are expected. This course objective is to learn concepts, method, and application to be familiar with basic AI planning, algorism selections, learning techniques, and modeling through Python (with Anaconda, Spyder, and Jupyter) training business cases.
2. Being familiar with basic AI planning, algorism selections, learning techniques, and modeling for predictions through Python and R training business cases.
An avid skier, Masatoshi has pursued his passion for the sport for many years, recently exploring its connection to preventive medicine and considering it as a lifelong activity. His commitment to understanding the intricacies of physical conditioning and fitness methodologies led him to study at the Canadian Sport Business Academy. He is certified with a SAJ Skiing Class 1 certificate, a Level 1 certificate from the Canadian Ski Instructors' Association, and an Avalanche Skill Training Level 1 certificate from Avalanche Canada.