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SFU Professional Computer Science
An unofficial publication by students of the master’s program in professional computer science
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Recommendation Systems: Collaborative Filtering using Matrix Factorization — Simplified
Recommendation Systems: Collaborative Filtering using Matrix Factorization — Simplified
Matrix Factorization explained using understandable examples
SACHIN PRABHU THANDAPANI
Mar 1, 2019
DIY Deep Learning: Crafting Your Own Autograd Engine from Scratch for Effortless Backpropagation
DIY Deep Learning: Crafting Your Own Autograd Engine from Scratch for Effortless Backpropagation
Authors: Abhishek Deshpande, Bhavya Sankhla, Ayush Sharma, Rituraj Ojha
Bhavya Sankhla
Feb 10, 2023
XGBoost: A Deep Dive into Boosting
XGBoost: A Deep Dive into Boosting
Every day we hear about the breakthroughs in Artificial Intelligence. However, have you wondered what challenges it faces?
Rohan Harode
Feb 3, 2020
Machine Learning Deployment: A Storm in a Teacup
Machine Learning Deployment: A Storm in a Teacup
Deploy a machine learning model in 10 minutes with Flask, Docker, and Jenkins.
Ekramul Hoque
Mar 9, 2019
The Artistic Potential of AI: Understanding DALL-E 2 and Stable Diffusion
The Artistic Potential of AI: Understanding DALL-E 2 and Stable Diffusion
Authors: Ayman Shafi, Gaurav Bhagchandani, Naina Thapar, Raghu Kapur, Shubham Bhatia
Machine Minds
Feb 10, 2023
Winning against Imbalanced Datasets
Winning against Imbalanced Datasets
Is sampling the answer? Let’s find out!
Chirayu Shah
Mar 9, 2019
Latest
Redshift 101: A Novice’s Guide to Amazon Redshift
Redshift 101: A Novice’s Guide to Amazon Redshift
Are you new to big data? Curious about the tools you’d need to succeed in this field? Come learn about Amazon Redshift with us!
Women in Big Data
Feb 11
Streamlit: Simplifying Interactive Data Apps for Everyone
Streamlit: Simplifying Interactive Data Apps for Everyone
Author: Yiming Wang, Wenhao Tian, Harman Dhami
SFU Big Data Lab II - Byte By Byte
Feb 11
The AI Engineer: Are we coding ourselves out of a job?
The AI Engineer: Are we coding ourselves out of a job?
Authors: Fitzpatrick Laddaran, Yasmine Gouin, Nolan Isaac-Smith, Chi Nguyen, Rojin Lohrasbinejad
Chi Nguyen
Feb 11
Automating Your Data Pipeline Using Terraform
Automating Your Data Pipeline Using Terraform
Infrastructure as code in big data analytics
Data Minds
Feb 11
The Top 4 LLMs: Gemini vs ChatGPT vs DeepSeek vs Copilot — Which One Should You Use?
The Top 4 LLMs: Gemini vs ChatGPT vs DeepSeek vs Copilot — Which One Should You Use?
The AI War in 2025
sparkandbeyond
Feb 11
Don’t Drown in Data Lakes! Stay Afloat with Delta Lake & Apache Iceberg.
Don’t Drown in Data Lakes! Stay Afloat with Delta Lake & Apache Iceberg.
Authors: Andy Tong, Marjan Hassanzadeh, Ethan Do, tga63
Andy Tong
Feb 10
Unmasking Deepfakes: The Science of Detecting AI-Generated Images
Unmasking Deepfakes: The Science of Detecting AI-Generated Images
Authors: Vikramjeet Singh, Wing Hei Raymond Choi, Bhavya Manoj Sharma, Manan Tiwari
Vikramjeet singh
Feb 10
Is There a Best Generative AI Model?
Is There a Best Generative AI Model?
Introduction
Rajan
Feb 10
💥Linear Regression in 5 minutes
💥Linear Regression in 5 minutes
Welcome to learn the linear regression. This is the fastest guide designed specifically for beginners in machine learning.
Five_big_data
Feb 10
Distributed Computing … and Apache Ignite
Distributed Computing … and Apache Ignite
A while back, I was working on this massive project that felt like trying to solve a giant jigsaw puzzle — by myself. I’d spend hours on…
Bob Semple
Feb 9
Wellness-Watch: Enhancing Counselling Outreach using Machine Learning
Wellness-Watch: Enhancing Counselling Outreach using Machine Learning
Creating a Pathway to Mental Wellness with Machine Learning
Datasigns SFU
Apr 20, 2023
The Truth Behind Fake News: Tools and Techniques for Detection
The Truth Behind Fake News: Tools and Techniques for Detection
Authors: Linsong, Shlok Nangia, Jialiang Guo (3_datamen)
Shlok Nangia
Apr 12, 2023
The Blueprint for Successful ML Models: Machine Learning Design Patterns
The Blueprint for Successful ML Models: Machine Learning Design Patterns
Authors: Ushmajeet Sikdar, Aastha Jha, Roodra Pratap Kanwar, Antonio Abaya
Aura
Feb 10, 2023
MLflow — a modern MLOps tool for data project collaboration
MLflow — a modern MLOps tool for data project collaboration
A comprehensive introduction to MLflow and its capabilities
Hong Nguyen
Feb 10, 2023
Blockchain Meets NLP: A Secure Feedback Solution
Blockchain Meets NLP: A Secure Feedback Solution
Authors: Aditya Sharma, Priyanka Sohanlal Jain, Pranjal Verma, Rohan Sharma
Analytic Avengers
Feb 10, 2023
IoT: Plug and Play (Healthcare Edition)
IoT: Plug and Play (Healthcare Edition)
Authors: Aditya Desai, Gauri Mane, Karishma Damania, Rubin Hazarika, Owais Hetavkar
Gauri Mane
Feb 10, 2023
FRESHLY BAKED: A Simple Guide for the Latest Version of Streamlit 1.18.0
FRESHLY BAKED: A Simple Guide for the Latest Version of Streamlit 1.18.0
Authors: Jingyi Huang, Xiaoxiao Duan, Xiner Qian, Zeye Gu, Ziyao Cui
xxxibdara
Feb 10, 2023
Dive into MongoDB & PostgreSQL
Dive into MongoDB & PostgreSQL
In this post, we will use PostgreSQL and MongoDB as examples to introduce the differences between SQL and No SQL databases.
ML-learners
Feb 10, 2023
Unleashing the Power of Edge Computing with Differential Privacy
Unleashing the Power of Edge Computing with Differential Privacy
Authors: Darshaun Kandasamy Govindhraj, Kumar Shivam, Sathish Kumar Alagarsamy
DataScientistS3
Feb 10, 2023
ChatGPT and the Model Behind
ChatGPT and the Model Behind
Authors: Yuxin Shao, Caixuan Wang, Daisy Xu, and Xinrui Zhang
BetaBots
Feb 10, 2023
Streamlining Data Manipulation with the power of Command Line tools
Streamlining Data Manipulation with the power of Command Line tools
Authors: Linsong, Shlok Nangia, Jialiang Guo (3_datamen)
Shlok Nangia
Feb 9, 2023
AN OVERVIEW: GRAPH NEURAL NETWORKS
AN OVERVIEW: GRAPH NEURAL NETWORKS
Authors: Dilip Reddy Basireddy,Nagendra Reddy Vippala,Hassan Ahamed Shaik
diliprb1999@gmail.com
Feb 9, 2023
Docker in Depth
Docker in Depth
Authors: Yixian Lu, Jieyuan Bi, Qiwen Xu, Xiaolin Song, Yuhao Bai
LinearGroup
Feb 9, 2023
SqueezeNet: The Key to Unlocking the Potential of Edge Computing
SqueezeNet: The Key to Unlocking the Potential of Edge Computing
Authors: Anmol Malhotra, Rithik Agarwal, Hardev Khandhar, Rohan Mathur
Data Hunters
Feb 9, 2023
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