Certificate Program on Machine Learning and Deep Learning
Description
The Certificate of Study on Machine Learning and Deep Learning is a program suitable for researchers, engineers, and data analysis. This program provides a broad introduction to machine learning and deep learning. The topics of certificated program include: learning theory, supervised learning generative/discriminative learning, parametric/non-parametric learning, neural networks, and support vector machines; unsupervised learning (clustering, dimensionality reduction, kernel methods, and Fuzzy clustering), self-organizing feature maps; deep learning algorithms, reinforcement and Q-learning, adaptive and robust learning techniques, and Hybrid methods.
The course will also discuss recent applications of machine learning, such as to robotic, intelligent control systems, data mining, computer vision, autonomous navigation, bioinformatics, biometric recognition, medicine, business intelligent, and natural language processing, text and web data processing.
This certificate program is multidisciplinary that prepares researchers and data analysts to conduct insightful, practical applications on machine learning and deep learning to solve industrial, medical, trade, economic, and business problems.
Program Objectives
Be able to formulate machine learning problems corresponding to different applications.
•Understand a range of machine learning and deep learning algorithms along with their strengths and weaknesses.
•Understand the basic theory underlying machine learning.
•Be able to apply machine learning algorithms to solve complex problems.
• Be able to read current research papers and understand the issues raised by current research.
At the end of the course students should be able:
To introduce students to the basic concepts and techniques of Machine Learning and deep learning.
•To develop skills of using recent machine learning software for solving practical problems.
•To gain experience of doing independent study and research
•To develop skills of using recent machine learning software for solving practical problems.
•To gain experience of doing independent study and research.
MINIMUM ADMISSION REQUIREMENTS
Glenbow College may ask candidate students to have an ONLINE interview with course instructors. However, the minimum requirements for candidates of this course are as following;
Admission to the certificate program will require to have the following background:
Knowledge of basic computer science principles and skills, at a level sufficient to write a reasonably non-trivial computer program.
Familiarity with the statistic and probability theory, linear algebra (vectors and matrix transformation) and calculus (derivatives and differential equations).
Familiarity with the statistic and probability theory, linear algebra (vectors and matrix transformation), and calculus (derivatives and differential equations).
COURSE DURATION
The tentative course duration is five (5) weeks and 90 hours in total. (Four (4) hours in a day and twenty (20) hours in a week.
The hours may change as required.
COURSE PREREQUISITES
No Prerequisites required.
WHAT ARE THE ASSESSMENT REQUIREMENTS?
The course will be ONLINE and LIVE which means active participation is required. The assessment requirements will consist of written assignments, active attendance, presentations, and group work. At the end of each module, students will take an ONLINE and LIVE final exam.
COURSE BREAKDOWN
The course includes but not limited to the followings;
Multi-Layered Perceptron and Error Back-Propagation (BP) algorithm
LMS, ADALINE, MADALINE and BM models.
Fuzzy C-Means Algorithm (Type-1, Type-2)
Hybrid Algorithms
Various applications will be discussed.
Each student has to present a project by using real data, a feature extraction method, and a classifier algorithm.
Various applications will be discussed .
COURSE IS FOR
This course is for everyone who is interested in having a career in high demand and fast growing Machine Learning and Deep Learning.
With this certificate you will be opening up many opportunities in the Data Science industry.
WHAT IS IT IN FOR YOU?
TThose who successfully complete this certificate course are eligible to earn a Professional Development Award from Glenbow College. With which they will have various opportunities opened for great, well paying, career opportunity.
COURSE DELIVERY
The delivery of the course will be ONLINE and LIVE. Students are supposed to have a laptop/computer with microphone and internet connection.
Classes my be offered in physical class setup if the COVID-19 situation allows.
COURSE NOTES
Course manual provided for on-going reference. There is a final exam upon completion of the course. Participants who receive 80% or higher on their exam will receive a certificate. For more details about the course please contact us for an in-person or virtual discussion.