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Insights into Machine Learning

California Science and Technology University
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Endorsed by Curators:
Feb 10 10:00AM - 12:30PM

Learn with Our Best

Jahan Ghofraniha got his Ph.D. from the University of British Columbia in Vancouver, Canada with specialization in pattern recognition, artificial intelligence, statistical and machine learning. He has over 23 years of industrial experience working in numerous application areas such communication systems, statistical signal processing, digital health and application of AI and deep learning strategies in disease prevention and prediction. He was the CTO of health monitoring startup architecting and overseeing the implementation of advanced AI technologies to remote health monitoring system. He has been teaching advanced courses in the application of machine learning and deep learning. He has also been an invited speaker at local universities and technical societies and has conducted numerous workshops in the US and overseas. His area of research is in the advanced machine learning, Deep learning and AI with application in engineering and business. He holds three US patents and has over thirty publications.


COURSE DESCRIPTION

This course introduces methods and techniques for using stored data to make decisions. The student will learn data types including operational or transactional data such as data for sales, cost, and inventory; nonoperational data such as forecast data and macroeconomic data; and metadata, and learn their patterns, associations, or relationships, and how to use this information for decision making. Statistical learning concepts such as regression, classification, decision trees and model reduction techniques such as principal component analysis will be introduced. Specific examples of engineering and businesses using data mining techniques will be given in the course.


Schedule:

  1. 10:00-10:15 a.m. Check-in

  2. 10:15-11:15 a.m. Insights into Machine Learning

  3. 11:15-11.45 a.m. AI Program Introduction

  4. 11.45-12:00 p.m Q&A and Networking

  5. 12:00- 12:30 p.m Lunch Provided



Upcoming Events

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Endorsed by Curators:
Master the skills of Machine Learning in 8 weeks!

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