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Machine Learning Course

Overview

The Machine Learning course delves into the core concepts and implementation of Machine Learning, using practical examples from well-known systems like Netflix, YouTube, or Twitter. The instructor will describe fascinating Big Data problems, introduce standard algorithms used to address them, and present libraries used to implement those algorithms. Topics covered include mining of frequent item sets, clustering, stream analysis, similarity search, machine learning, and recommendation systems.

Course Details

• Course code: CEBD 1260
• Duration: 30 hours
• Prerequisite courses: Programming for Data Analytics (CEBD 1160)
• Knowledge in Excel, SQL, Python, and/or R and statistics and probability are crucial for success in this course.

Upcoming Dates

• Term: Fall
• Section: 1
• Mode: Online
• Fees: $1,095
• Dates: September 16 November 18, 2026
• Time: Wednesday, 18:00 21:00

Takeaways

This course helps students:

• Understand the broad classes of methods used to address big data challenges
• Learn the main algorithms to implement those methods
• Apply those algorithms on realistic problems using existing software libraries

Approach

The course employs student-centered learning focused on the acquisition of practical, real-world skills. Students receive close, personalized instruction from an industry professional in an online virtual classroom (Zoom).

Target Audience

The course benefits:

• Students who completed CEBD 1160 and want to continue their studies
• Individuals who want to improve their organization's performance by better harnessing Big Data
• Professionals who want to leverage data for better decision-making
• Entrepreneurs with projects that could benefit from data analytics
• Students in fields like geography, biology, psychology, humanities, or any other field with big data
• IT professionals who want to transition to Big Data from more traditional sectors

CCE Loyalty Discount

Students receive a 10% discount on their CCE course or workshop tuition fees if they:

1. Previously completed a CCE, undergraduate, or graduate course at Concordia University
2. Completed a language proficiency test at CCE
3. Completed a CCE Professional Development Seminar/Workshop