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Machine Learning for Business


Learn to identify your business problems and how to gather your data to plug into the machine!


Determine the best setup, refine the proposed business problems, and set the right rules for your project.


Understand and implement the results returned from your machine learning project, and identify solutions for your business problem.

Course Overview

Are you a business expert, looking for innovative and predictive solutions? Come on a machine learning journey with us, where we will use the power of predictive analysis, large data sets, and data-driven business processes to solve pesky business problems that have been plaguing us for years! Welcome to the data revolution!

In this course, students will learn the ins and outs of Machine Learning, a hot concept in business analysis that stems from building algorithms which learn from and predict data. To start, we will identify appropriate business problems to plug into Microsoft's cloud platform, Azure Machine Learning Studio. During this process, you'll learn how to gather sufficient data for your problem and get the specifics of how to find solutions in a corporate setting. Learn to build, refine, and analyze your own ML experiments, using real world data and projects. In the end, we'll publish experiments and show off the results on a demo day!

Highlights of the Course

  • What is ML
  • Appropriate problems for ML
  • Hierarchies vs. Networks
  • General AI theory
  • Gathering correct data
  • Understanding ML ecosystem
  • Predictive analysis
  • Gathering results
  • Dissecting solutions
  • Real world problem-solving
  • Key strategies
  • Experiment publishing
  • Demo Day

Class Details

4 Weeks

T & Th

6pm - 9pm


Our Machine Learning class meets twice per week over the course of four weeks. Class is held on Tuesday and Thursdays from 6:00 pm to 9:00pm. The cost of this course is $2,200.

Upcoming Classes

Start Date Course Schedule  City Apply;

* = An asterisk denotes that marked course is held from 1pm-4pm with Office Hours following.