Positions available: one individual student

This is a market research and technical evaluation project into various commercial Machine Learning (ML) products. The main objective is to give Maxus a birds-eye view of the pros and cons and capabilities of selected ML systems in relation to the application of personality assessments for the hiring process.

For the chosen set of Machine Learning packages, determine how each one stacks up against the others along key metrics: pricing, hardware platforms supported, developer community size, connectivity, software language support, performance, algorithm library, product maturity, strengths and weaknesses, market share, etc.

The ideal student for this project is interested in Artificial Intelligence/Machine Learning, Big Data, market research, databases, and a passion for technology. Creativity, good communication skills, and resourcefulness are especially important for project success.

STUDENT TASKS

• Work with mentor to design a ASP.Netcore/C# webpage to use in evaluating Machine Learning algorithms with respect to our project goals. The ideal candidate will have basic understanding and is familiar with relational and/or graph databases, Machine Learning/AI concepts, social media, market research. Knowledge of software development languages would be useful: C#, Python, Javascript, Java, Html, Json, Xml.
• Key deliverable: Create a written report on the pros and cons of the selected ML toolsets and especially the challenges within the early stages of the learning curve for using each one.

COMMUNICATION

We will communicate with the student using emails, phone, video, and instant messaging.

Regular contact via email, phone, video, and instant messaging. Willing to work closely to help student achieve best result up to about 8 hrs/week.