Analyzing if a Codenames bot can win using only card layout patterns, without understanding word meanings.
Analyzes public reactions to AI bias claims, contrasting them with responses to traditional software bugs, using a viral example.
A web developer shares their journey learning machine learning, applying JavaScript skills to a new domain and rediscovering math.
A tutorial on implementing a neural network in JavaScript using Google's deeplearn.js library to improve web accessibility by choosing font colors.
A guide to implementing logistic regression with gradient descent in JavaScript to solve classification problems.
Explains the Normal Equation as an alternative to Gradient Descent for linear regression in JavaScript, including implementation.
A guide to implementing multivariate linear regression with gradient descent in JavaScript, including feature scaling.
A guide to implementing vectorized gradient descent in JavaScript for machine learning, improving efficiency over unvectorized approaches.
Explores methods to optimize the gradient descent algorithm in JavaScript, focusing on selecting the right learning rate for convergence.
Explains polynomial regression as a solution to under-fitting in machine learning when data has a nonlinear correlation.
A guide to implementing linear algebra concepts and matrix operations in JavaScript, using the math.js library for machine learning.
A guide to implementing linear regression with gradient descent in JavaScript, using a housing price prediction example.
An author critiques the overuse of PCA in data science, arguing it's not a universal solution for classification problems.
