Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
2 months
Duration
2 months
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Unknown
Start date
Unknown
Unknown
Taught in
English
Taught in
English

About

The Machine Learning course offered by Concordia University Montréal will cover topics like mining of frequent item sets, clustering, stream analysis, similarity search, machine learning and recommendation systems.

Overview

What you will study

Get ready to delve into the core concepts and implementation of Machine Learning. What does that mean exactly? Well, based on practical examples from well-known systems like Netflix, YouTube or Twitter, your instructor in the Machine Learning course offered by Concordia University Montréal will describe some fascinating Big Data problems, introduce the standard algorithms used to address them, and present libraries used to implement those algorithms. 

Programme Structure

The program focuses on:

  • 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.

Key information

Duration

  • Part-time
    • 2 months

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.
More details
  • There are no upcoming dates at this time.

Language

English

Delivered

Online

Campus Location

  • Montréal, Canada

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Students who completed CEBD 1160 and want to continue their studies.
  • Individuals who want to improve the performance of their organization 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.

Tuition Fees

Funding

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Machine Learning
Concordia University Montréal
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Concordia University Montréal

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