Using Skills to Define and Measure Job Demand

|By JD Cook & Michael Fedell| INTRODUCTION This study began with a project in our Everything Starts with Data course (MSiA 400) which meant to cover a wide survey of important topics in data science. To gain practical experience, the class was divided into project groups and given some messy, real world data with a

Happy Baby to Goddess: Creativity in Yoga Sequencing with Markov Chains

|By Rachel Rosenberg| Introduction I started practicing yoga five years ago. I was tight from frequent running, living in Ohio and in need of a creative and active outlet. While I was initially drawn to the immediate endorphins from yoga, I stuck around for the variety of movement and continued challenge that it offered. I

Chocolate Chips and Fish Sauce: A Network Analysis and Visualization in Ingredient Pairings

|By Finn Qiao| Accompany visualization found at https://finnqiao.github.io/recipe_universe_d3/ Introduction In 2014, a food truck emblazoned with “IBM Cognitive Cooking” arrived at South by Southwest ready to serve up algorithmically generated street fare. Along with IBM’s Jeopardy AI, they were the early applications that would help ease AI into the public sphere. The recipes from Cognitive

Personalized Restaurant Recommender System Using A Hybrid Approach

|By Lingjun (Ivan) Chen and Nuo (Nora) Xu| Problem Statement Nowadays, personalized recommendation systems are implemented by many online businesses, which try to identify user’s specific tastes then provide them with relevant products to enhance user’s experience. Users, in turn, would be able to enjoy the convenience of exploring what they potentially like with ease

AMI (Heart Attack) Likelihood Prediction Analysis

|By Jamie Chen, Johnny Chiu, and Junxiong Liu | This paper was written to record our experience as one of the top 5 finalists of the the 2018 Humana-Mays Healthcare Analytics Case Competition.  Introduction Hackathons and case competitions are great ways to test our knowledge by applying it to real-world problems, and this fall, our team

Semantic Network Analysis of Ideological Communities on Twitter

| By Logan Wilson | Introduction One of the primary contributions of Twitter to modern media is the notion of the “hashtag” – a single word or phrase that captures an idea, concept, or movement. As more and more people see and share the hashtag, the movement grows and evolves, giving way to new ideas

Real-Time Human Activity Classification in Videos

| By Daniel Lütolf-Carroll and Rishabh Joshi | Problem Statement Deep Learning has been applauded for its versatility and applicability on many use-cases across industries. We set out to explore and familiarize ourselves with DL on a problem that was relatable to most: video streaming. Our project aimed to enhance the user viewing experience by

Chicago Botanic Garden: Members Relationship Management Project

| By Ethel Shiqi Zhang | As students in the Master of Science in Analytics (MSiA) Program, we are given a plethora of opportunities to engage with clients to apply our newly-minted analytics skills by tackling real-world problems. This year, a group of four students paired up with IBM Analytics to carry out a project

Running a Marathon in 45 Seconds Flat

| By Chris Rozolis | I should start by saying I have absolutely no long-distance training experience and have never completed a marathon, half-marathon, or even a 5K in my life — that being said, I have experience in running marathons…or at least simulating the running of them using Python. Over the past 8 months