K-Nearest Neighbor (KNN) algorithm
The K-Nearest Neighbor (KNN) algorithm is an intriguing method in the realm of supervised learning, celebrated for its simplicity and intuitive approach to predicting outcomes. Often employed for both...
Kolmogorov-Smirnov test
The Kolmogorov-Smirnov Test (K-S test) stands out as a powerful tool in statistical analysis, particularly for those looking to investigate differences in data distributions. As a nonparametric method...
Learning rate
Learning rate is a vital component in the optimization of machine learning models, serving as the engine that drives how quickly or slowly a model learns from its training data. It significantly impac...
LightGBM
LightGBM is becoming increasingly popular in the machine learning community due to its remarkable efficiency and performance. As large datasets become more common and the demand for faster training pr...
LLM agents
LLM Agents, or Large Language Model Agents, are at the forefront of artificial intelligence, showcasing remarkable capabilities that enhance how we interact with technology. These AI systems are desig...
ML architecture
ML architecture forms the backbone of any effective machine learning system, shaping how it processes data and learns from it. A well-structured architecture ensures that the system can handle vast am...
LLM alignment
LLM alignment is a crucial aspect of developing large language models (LLMs) that behave in ways developers and users find acceptable. As these systems become increasingly integrated into daily life, ...
How to Use Gelato with Etsy: The Step by Step Guide
I’ve been working with creators and ecommerce brands (helping them build their online presence) for over a decade now. In that time, I’ve seen plenty of business models rise and fall – but the...
