***This course is part of the Micro-credential in Data Science Program. Ask about this program at contact@hpedis.uh.edu.


Machine learning is the science of developing statistical methods that quantify relationships within data. This branch of mathematics/computer science has seen an explosive growth over the past decade as our ability to store and process digital data has dramatically increased. Prediction, classification, regression, and identification are the aims of learning from data. All of these problems are routinely performed in data analytics.

To obtain an overview of the literature in learning-based methods and applications.

To obtain an understanding of a variety of machine learning techniques for classification, regression, and prediction.

To obtain the ability to implement and experiment with a wide range of machine learning algorithms in Python with examples.

To apply: Unsupervised and Supervised learning and clustering concepts, Dimensional reduction, Kernels and kernel-based classifiers such as SVM, and Deep Learning algorithms.

To understand and implement learning-based methods for classification of images, signals and features.

Prerequisites: Participants are expected to have a working knowledge of the UNIX/Linux environment or should have taken Cluster computing course from HPE DSI dept.




Dates: 31st May 2022 - 17th July 2022

Time: Tues Thur 2:30 PM - 4:00 PM

Instructor: Dr. Ioannis Konstantinidis

Location: Microsoft Teams with CODE

Class Capacity:150

  • HPE DSI’s courses are free for UH System students from outside the Main Campus. However, these individuals must enroll in our courses at least three weeks before the courses starting date to allow for proper registration.

Attendance Requirement:

Good standing on Attendance grade (>50%) would be required to see new course materials, homework assignments, and exams/projects as the course proceeds.

Also, for students interested in getting a badge or certificate for completing this course, an attendance grade of at least 12 hours of the class meeting sessions is required, to be qualified for passing the course and getting the badge.


Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses

Attendees who are current UHS student, staff or faculty from the Clear Lake, Victoria, Downtown, Sugar Land or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

Current UHS (all campuses) Student, Staff or Faculty Registration Fee: Free.


UH Alumni and Non-UH Affiliates

Attendees who are not current UHS student, staff or faculty will need to make a payment for the course prior to its commencement.

UH Alumni Registration Fee: $250.00.

Non-UH Affiliate Registration Fee: $250.00.

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this link  


(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class.

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu

** The following refund schedule applies:
More than three weeks before start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before start date: 15% cancellation fee applies.
Less than one week before start date: 25% cancellation fee applies.
48 hours or less before class start: No refund is available.
All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.