A guide to implementing multivariate linear regression with gradient descent in JavaScript, including feature scaling.
A guide to installing and managing Vim plugins using a plugin manager like vim-plug to improve your development workflow.
A guide to implementing vectorized gradient descent in JavaScript for machine learning, improving efficiency over unvectorized approaches.
Analyzes decision-making quality in sports and board games, where clear data reveals the high cost of poor choices.
Learn how to create a custom IterableDiffer in Angular to optimize change detection and improve performance with large collections.
Explores methods to optimize the gradient descent algorithm in JavaScript, focusing on selecting the right learning rate for convergence.
A recap of PyData Warsaw 2017, covering key talks, new package announcements, and analytics on the conference's international attendees.
Angular performance guide using pure pipes, memoization, and functional programming to reduce redundant computations in applications.
Analyzes Android device fragmentation using market share data to show how outdated devices accumulate over time.
An overview of Machine Learning applications in Remote Sensing, covering key algorithms and the typical workflow for data analysis.
Explains how to improve Angular app performance using OnPush change detection and immutable data structures.
A guide on improving code review communication and avoiding conflict, based on a real-world example of a failed review process.
A summary of a Python Frederick talk on using Scrapy, a Python framework for web scraping, including a link to the presentation.
The article critiques poor UI changes in apps like Zulip and Facebook, comparing them to confusing physical designs like doors.
A guide to setting up automated Slack invitations for a community using JavaScript/React and the Slack API.
A guide on how to become an open source project maintainer by contributing to existing projects you use, without needing permission.
A developer explores a hacky React solution for handling errors in a custom i18n library's 'sorta-curried' API.
A developer shares techniques for improving module usability, focusing on removing side-effects from imports in a custom i18n solution.
A guide to hosting single or multiple web applications on a single, cost-effective Digital Ocean Droplet, covering setup for static sites and Node.js apps.
Explains polynomial regression as a solution to under-fitting in machine learning when data has a nonlinear correlation.
