***This course is part of the Micro-credential in Data Science Program. Ask about this program at email@example.com.
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: 25th January 2022 - 3rd March 2022
Time: Tues Thur 2:30 PM - 4:00 PM
Instructor: Dr. Ioannis Konstantinidis
Location: Microsoft Teams with CODE
- 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.
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 https://store.mynsm.uh.edu/index.php?route=product/product&product_id=404&search=311
(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 firstname.lastname@example.org
** 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.