UC Irvine Introduces Machine and Deep Learning Programs
IRVINE, Calif., Aug 25, 2017 — The University of California, Irvine Division of Continuing Education (DCE) has announced a new Machine and Deep Learning Specialized Studies Program for the Fall 2017 quarter. Machine Learning is a form of data analysis and is often described as the current state of the art of Artificial Intelligence providing practical tools and processes that businesses are using to remain competitive and society is using to improve the way we live. Deep Learning is a self-improving process that focuses on those Machine Learning tools that mimic human thought processes. Advances in Machine Learning and Deep Learning are helping to solve a very broad variety of problems including logistics, business process optimization, customer service, and health care.
This program is intended for professionals in a variety of industries and job functions who are looking to help their organization leverage the massive amounts of diverse data they collect and develop self-improving systems that allow their organization the ability to compete in the global market place. A free webinar on Machine Learning will be offered on September 1 from 11:30 a.m. to 12:30 p.m. PDT.
“By 2020, IT departments will be monitoring 50 times more data than they are today,” said Dave Dimas, Ph.D., director of engineering, sciences and information technology programs at UC Irvine DCE. “This tidal wave of data has driven unprecedented demand for those with the skills required to manage and leverage these very large data sets into a competitive advantage for their organizations.”
Specific job titles that would benefit from this program include: Marketing, Sales, Business Analysts, Data Engineers, Data Analysts, Computer Scientists, Database Administrators, Researchers, Statisticians, and those professionals looking to broaden their skills in this high-demand field while leveraging their unique domain expertise. The first course in the program is Tools and Techniques for Machine Learning. In this course, participants will cover the tools and techniques that are currently associated with the discipline of machine learning. They will start by exploring the field of machine learning and then gradually delve into practical examples of how to leverage machine learning algorithms to derive insights from big data. Once participants have attained practical exposure to utilizing machine learning algorithms, they will use visualization capabilities to surface the output generated by the machine learning algorithms. Finally, participants will explore the field of deep learning and understand how it differs from machine learning.
About UCI Division of Continuing Education
The University of California, Irvine Division of Continuing Education (DCE) provides lifelong learning opportunities to thousands of students worldwide each year — fulfilling the school’s 60-year curriculum platform to connect degree programs to the world of work and achievement after graduation. The Division offers a broad range of certificate programs, specialized studies, and sequential courses to local, regional and global markets through online, on-campus and on-site delivery. A leader in the open education movement, the Division offers free Massive Online Open Courses (MOOCs) and content through the UCI Open initiative. For more information about UCI Division of Continuing Education, visit here.
About the University of California, Irvine
Founded in 1965, UCI is the youngest member of the prestigious Association of American Universities. The campus has produced three Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UCI has more than 28,000 students and offers 192 degree programs. Located in one of the world’s safest and most economically vibrant communities, it’s Orange County’s second-largest employer, contributing $4.8 billion annually to the local economy.