Machine Learning: Predictive Analysis for Business Decisions

https://iln.ieee.org/Public/ContentDetails.aspx?id=72F4692104C84E1FA1040ECD20E8B536

 

In collaboration with the Continuing Education Committee of the Educational Activities Board of the IEEE.

This is an online course, now for individual participation

 

The Baltimore Section of the IEEE, in close collaboration with the Continuing Education Committee (CEC) and the Continuing Education Products and Business Development Department of the Educational Activities Board (EAB) of the IEEE, is organizing and sponsoring a series of online courses for group or individual participation, eligible for CEU credits. The fourth online course, to be taken individually, is planned for Oct 14-29, 2023.

These courses are part of the IEEE eLearning program, offered through the IEE Learning Network (ILN), and are being made accessible to the Baltimore Section at a deep discount (click here for the regular pricing, or scroll all the way down for the special price of this course program). The Baltimore Section extends an invitation to neighboring sections in Area South of Region 2 (Washington DC and Northern Virginia), under similar conditions.

 

 Time window for online access:  Oct 14-29, 2023

Registration closes on Sept 30, 2023

Where: Anywhere, all you need is a computer and Internet connection

Course Provider: Educational Activities

Course Number: EDP582

Credits: 0.5 CEU/ 5 PDH

 

Course Program Description

This course provides an overview of machine learning in the age of big data, cloud computing, and our data-saturated society. Business leaders will learn of the various types of machine learning, and how they can be used with a variety of enterprise data holdings and publicly available data to develop deeper insights in the business environment;  understand basic computational intelligence paradigms, and how machine learning is integral to the field;  learn the technical vocabulary and high-level concepts of machine learning in a manner that demystifies the topic and enables them to ask the right questions on the deployment of machine learning into business operations.

What you will learn:

 

The course program includes the following courses:

Machine Learning in the Age of Enterprise Big Data

Machine Learning in a Data-Driven Business Environment

Sound Business Practices for Data Mining and Predictive Analysis

Machine Learning Algorithms, Models, and Systems Integration

Machine Learning Platforms, Technology, and Tools

 

Course Program Length: 5 hours

Who Should Attend: Computer engineers, business executives, industry executives, industry leaders, business leaders, technical managers, data scientists, and data engineers

 

Instructor

Grant Scott, Assistant Professor in the Center for Geospatial Intelligence (CGI) and the Electrical Engineering and Computer Science Department, University of Missouri

ISBN: 978-1-7281-7749-6

Upon successful completion of this course program, you are eligible to receive a digital badge that can be shared on LinkedIn and other social networks. If you would like to request a badge for this program, please contact:  eab-ceuadmin@ieee.org.

 

 

Course registration FEES (to be paid through vTools upon registration*):

The IEEE gives us a 75% discount on their regular prices. The Baltimore Section of the IEEE provides additional support. Here is what you pay at registration at vTools:

 

Colleague pays at registration

Members of the Baltimore Section of the IEEE (only)

$15.00

Student members of the Baltimore Section of the IEEE (only)

$10.00

Members of all other sections of the IEEE

$36 .00

Student members of all other sections of the IEEE

$23.00

Non-members of the IEEE (all)

$62.00

 

The whole course program is eligible for 0.5 CEUs equivalent to 5 PDHs. Upon successful completion of this course program, you are eligible to receive a digital badge that can be shared on LinkedIn and other social networks.at no additional cost. If you would like to request a badge for this program, please contact us:  eab-ceuadmin@ieee.org.

 

https://events.vtools.ieee.org/m/365740

 

Important: We will need each participant's name, and the email address that they plan to use to access the course, in order for us to set up the code for access. Please provide this and only this email address!

 

*Once people register through vTools, they will be provided a code. After that, they will have to "purchase" (without payment) the course on ILN using this very same code. There will be no charge when they use the code.

 

Please note:

This is a pilot project. If successful, more courses like this will follow!

 

 For more information:bgramat-at-jhmi.edu