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Machine Learning at Scale - Course Project

ML1020
Closed
York University
York University
Toronto, Ontario, Canada
Karthik Kuber
Adjunct Instructor | Senior Data Scientist
1
Timeline
  • January 19, 2019
    Experience start
  • January 27, 2019
    Project Scope Meeting
  • February 17, 2019
    Midway Check In
  • March 16, 2019
    Final Presentation
  • March 16, 2019
    Experience end
Experience
1 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Skills
neural networks python modelling big data analytic problem solving
Student goals and capabilities

Are you trying to translate big data into actionable insights? In this project, students in York's Machine Learning Program will build models and recommendations that can be presented to broad audiences at your organization.

Although highly motivated, these are part-time students, and their time for this project is limited to a few hours per week. Their focus will be on building, validating, testing models, and optimizing runs, with 20% of their time spent on cleaning data.

Students

Students
Any level
25 students
Project
20 hours per student
Students self-assign
Teams of 5
Expected outcomes and deliverables

1. Students will prepare a report on their findings and include details of models. If applicable, future collaborative work between students and your organization will be determined mutually.

2. Students will present key findings and recommendations to representative(s) from your organization.

Project timeline
  • January 19, 2019
    Experience start
  • January 27, 2019
    Project Scope Meeting
  • February 17, 2019
    Midway Check In
  • March 16, 2019
    Final Presentation
  • March 16, 2019
    Experience end

Project Examples

Requirements

When they start this project, the student will have learned the basics of ML, and working with Python, Hadoop, Spark, MapReduce, TensorFlow/CNTK, Keras, and others. Students can contribute to your initiative by:

1. Kickstarting a project and completing the initial models or proof of concept models.

2. Exploring various modelling approaches and building a prototype; validating, testing, and fine-tuning models.

3. Preparing a report, and possibly working with your organization's employees on future developments in the project and/or on presentations to broader audiences in the business.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:
  • question

    Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.

  • question

    Be available to attend three meetings (in-person or remote) at the three milestones listed. Estimate meeting time - 1 hour each for the first two milestones, and 2 hours for the final presentation and future work discussion.

  • question

    Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

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