Machine Learning I

Credit Option
Non Credit
Program Type
Workshop
Location
Online

In these two 4-hour workshops, you will learn the basics of machine learning and how this new field gives you the tools and skills you need to locate patterns within massive amounts of data.

As “information overload” and the amount of data we collect continue to increase, the field of machine learning is becoming increasingly important. Machine learning powers many of today’s popular services, like Google, social media and Netflix. You’ll learn basic applications in machine learning, discuss its strengths and limitations, and learn to recognize different types of machine learning. This course includes principal component analysis, clustering analysis, linear regressions and logistics regression. You’ll develop skills in machine learning that are highly valued in today’s data-driven society.

Can be taken individually or as part of the Building Your Skills in Python, Machine Learning, AI and R certificate program.

Workshop Information

Course Dates

TBA

Fee

$295

Who can benefit:

  • IT Professionals
  • Computer or Data Science Educators
  • Anyone Interested in Coding or Software Programming
  • Students Studying Computer or Data Science

Prerequisites

Basic knowledge in python computer 

Course Prerequisites

Instructor

Contact
Phone Number
Location
Hagedorn Hall of Enterprise 201

Juan Jaramillo is an associate professor and the director of the Master of Science in Business Analytics in the Robert Willumstad School of Business at Adelphi University . He holds a PhD in Industrial Engineering from West Virginia University. His published research spans the fields of Analytics, Logistics, Operations Management, and Health Care Analytics. Juan has been an invited editor of the INFORMS Journal on Applied Analytics and the Journal of Modelling in Management. He is the inaugural recipient of the prestigious Michael F. Gorman award for his contribution to the Analytics society of INFORMS.

Contact
Phone Number
More Info
Location
Levermore Hall, 303
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