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University of Toronto Machine Intelligence Team
University of Toronto Machine Intelligence Team

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3 days ago

Wall Street Bots 2: Crypto Price Prediction Using Machine Learning

A UTMIST Project by: Lisa Yu, Fernando Assad, Andrew Huang, Eliss Hui, Anand Karki, Sujit Magesh, Geting (Janice) Qin, Peter Shi, Dav Vrat, Nick Wood, Randolph Zhang. WallSteetBots2 is a 6-month project to predict cryptocurrency prices using Twitter tweets and market data through applying machine learning techniques. 1. Background 1.1. Motivation There…

Machine Learning

19 min read

Wall Street Bots 2: Crypto Price Prediction Using Machine Learning
Wall Street Bots 2: Crypto Price Prediction Using Machine Learning
Machine Learning

19 min read


Oct 3, 2022

How To Write and Submit to deMISTify

Introduction For those who have been affiliated with UTMIST for a long time, you’re probably aware that we’ve previously published all articles from the technical writing department on our Medium account. Of course, the writer would always be given credit, but this really limited the scope of what the technical writing…

4 min read

How To Write and Submit to deMISTify
How To Write and Submit to deMISTify

4 min read


Jun 22, 2022

Wall Street Bots: Building an Automatic Stock Trading Platform based on Artificial Intelligence From Scratch

A UTMIST Project by Jack Cai, Lisa Yu, Younwoo (Ethan) Choi, Dongfang Cui, Alaap Grandhi, Demetre Jouras, Kevin Mi, Yang Qu, Zhenhai (Joel) Quan, Thomas Verth. The Wall Street Bots project is a 6-month challenge to build a stock trading platform utilizing data analysis and machine learning methods. The final…

Fintech

22 min read

Wall Street Bots: Building an Automatic Stock Trading Platform based on Artificial Intelligence…
Wall Street Bots: Building an Automatic Stock Trading Platform based on Artificial Intelligence…
Fintech

22 min read


Jun 22, 2022

An Application of Deep Learning Model to Specify Cardiovascular Diseases via Analyzing ECG Diagrams

A UTMIST Project by Hanni Ahmed, Maanas Arora, Nabil Mohamed, Thomas Zeger, (Timothy Kwong), and Yan Zhu. Introduction Cardiovascular disease (CVD) is the leading cause of death in the world. According to the World Health Organization, about 17.9 million people died from CVDs in 2019, representing 32% of all global deaths…

Deep Learning

14 min read

An Application of Deep Learning Model to Specify Cardiovascular Diseases via Analyzing ECG Diagrams
An Application of Deep Learning Model to Specify Cardiovascular Diseases via Analyzing ECG Diagrams
Deep Learning

14 min read


Jun 12, 2022

Handwriting Recognition Using Deep Learning

A UTMIST Project by Justin Tran, Fernando Assad, Kiara Chong, Armaan Lalani, and Eeshan Narula. Introduction Recognizing handwritten text is a long-studied problem in machine learning, with one of the most well-known datasets being the MNIST [1] for handwritten digits. While recognizing individual digits is a solved problem, scientists have been…

Text Recognition

7 min read

Handwriting Recognition Using Deep Learning
Handwriting Recognition Using Deep Learning
Text Recognition

7 min read


Jun 12, 2022

Employee Attrition Factors Prediction

A UTMIST Project by Maliha Lodi, Afnan Rahman, Kevin Qu, Omer Raza Khan, Yinan Zhao, and Matthew Zhu. Project Overview An organization is only as good as its employees, as they provide the company with its competitive advantage. As a result, it is imperative that companies understand how to retain their top…

Machine Learning

7 min read

Employee Attrition Factors Prediction
Employee Attrition Factors Prediction
Machine Learning

7 min read


Jun 12, 2022

RealTime — Real Estate Price Prediction

A UTMIST Project by Arsh Kadakia, Sepehr Hosseini, Matthew Leung, Arahan Kadakia, and Leo Li RealTime is a machine learning project for predicting home prices in the GTA. It is a significant improvement on last year’s project, RealValue, by focusing on more data than ever before. Thanks to the effective…

Machine Learning

10 min read

RealTime — Real Estate Price Prediction
RealTime — Real Estate Price Prediction
Machine Learning

10 min read


Jun 11, 2022

SmileDetector — A New Approach to Live Smile Detection

A UTMIST Project by Noah Cristino, Bradley Mathi, Daniel Zhu, and Mishaal Kandapath. Smile Detector detects smiles in images using a new multi-step approach, which consists of performing facial recognition and then running the detected facial vectors through our custom C-Support Vector Classification model. By reducing the model input size…

Machine Learning

5 min read

SmileDetector — a new approach to live smile detection
SmileDetector — a new approach to live smile detection
Machine Learning

5 min read


Mar 30, 2022

Adaptive Aggregation Networks: Don’t Forget What You Learned

Written by Charles Yuan. A discussion on the paper title “Adaptive Aggregation Networks for Class-Incremental Learning”. Introduction When you really think about it, deep learning algorithms are fundamentally restricted from achieving true artificial general intelligence. For those who have ever constructed and trained a neural network, you would likely be familiar…

Continual Learning

7 min read

Adaptive Aggregation Networks: Don’t Forget What You Learned
Adaptive Aggregation Networks: Don’t Forget What You Learned
Continual Learning

7 min read


Mar 30, 2022

Introduction to Causal Inference in Machine Learning

Written by Natalie Volk. A discussion on the paper title “Causal Inference in medicine and in health policy”. Causal inference is a major area of research in machine learning, aiming to incorporate an understanding of cause-and-effect into AI models. By doing so, researchers believe that machine learning can help improve…

Causal Inference

8 min read

Introduction to Causal Inference in Machine Learning
Introduction to Causal Inference in Machine Learning
Causal Inference

8 min read

University of Toronto Machine Intelligence Team

University of Toronto Machine Intelligence Team

504 Followers

UTMIST’s Technical Writing Team publishes articles on topics within machine learning to our official publication: https://medium.com/demistify

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