Webinar June 18: Deep Learning Approaches to Forecasting and Planning Register

Made at Metis: Video Search Engine Using Salsa Dance Videos & Predicting Strategy in StarCraft

By Metis  • January 13, 2020

This post features two projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks.

Building a Video Search Engine: A Case Study of Salsa Dance Videos
Bhanu Yerra, Metis Bootcamp Graduate

Bhanu Yerra is fascinated by developments in the field of computer vision. For his final project, he aimed to marry two parallel tracks of interest: "video and human pose estimation in specific," he wrote, using these two things to create a content-based video search engine. 

In his blog post about the project, he walks readers through the data, his methodology, why he chose to focus on salsa dancing, his results, and future applications of his work. 

Read "Building a Video Search Engine" Now.

_____

Predicting Opponent Strategy in StarCraft
Alexander Parker, Metis Bootcamp Graduate

Alexander Parker describes StarCraft as "a real-time-strategy game where two players fight to destroy the other’s army and economic infrastructure. The actual victory condition in StarCraft is the destruction of all of the opponent’s buildings, but crippling blows can be dealt by destroying the opponent’s army and/or their ability to rebuild said army." 

For his final project during the bootcamp, he wanted to explore how to predict opponent strategy in StarCraft using a Bayesian Network model. In a blog post about the project, he writes: "Games, especially complicated games such as StarCraft where prior game states have a large impact on current and future game states (the choices I make at the start of the game decide what I can do later in the game), are often tackled using deep learning techniques such as RNN or LSTM neural networks. I believe the model described [in this post] is powerful because it is able to make predictions about highly complicated games such as StarCraft in a manner similar to neural networks while preserving a high degree of interpretability expected of Bayesian models." 

Read More About His Model.

_____

See more examples of Metis student projects here


Similar Posts

data science
Deep Dive: Math for Data Science Webinar on Course Report

By Metis • February 24, 2020

In partnership with Course Report, Metis Sr. Data Scientist Kimberly Fessel recently hosted a Math for Data Science webinar. During the 40-minute conversation, Kimberly highlights why you need math skills to be a Data Scientist and goes in-depth into which types of math you need to know in order to launch your career and find lasting success.

data science
5 Common Questions from Bootcamp Applicants

By Emily Wilson • February 17, 2020

While there are a number of ways to enter the data science field, we believe an immersive bootcamp is the most efficient and effective path with the best overall return on investment. But understandably, many people have questions about how a bootcamp will help them navigate the process of landing a job in the field. In this post, we share answers to 5 common questions that we receive from potential applicants.

data science
Now Through June 15th, Enroll in Bootcamp Prep Courses at Reduced Price

By Metis • April 17, 2020

Now through June 15th, when you enroll in any of our upcoming Bootcamp Prep Courses (no matter the start date), you'll pay a reduced price of $499. During this difficult time, we hope this reduced tuition opens up more opportunities for those interested in building data science skills in a live online format.