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Machine Learning Tutorial

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

Lecture Description

Machine Learning is not just a concept, it has come to our lives. This lecture will introduce methods and techniques for machine learning. After this lecture, you will understand how machine learning works. You will learn the 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 introduced in the lecture. To apply the machine learning techniques in your work, however, a 8-week machine learning course will be needed.

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.

Schedule Lunch will be provided:

  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!

Master the skills of Machine Learning in 8 weeks!

Mar 04 1:30PM - 5:30PM
Starting Time:3/4/2018Sundaytime1:30 pm to 5:30 pm(on site),Tuesday7:30 pm to9:30 pm(attend remotely)End Time: 4/22/2018(45 hours)Class Location:1601 McCarthy Blvd., Milpitas, CA 95035Tuition:…