By Camille D., Age 17 K-means clustering is one of the most widely used and straightforward machine learning algorithms. Its goal is to find groups or clusters within a set of data, the number of which is denoted by k. It is an iterative algorithm that partitions a dataset into subgroups such that the subgroups… Continue reading Advanced Machine Learning Techniques: K-Means Clustering Algorithm
Author: Camille D
Advanced Machine Learning Techniques: Principal Component Analysis
By Camille D., Age 17 This article will focus on a method data scientists and programmers use to make data easier to explore, visualize, and interpret data, called principal component analysis (PCA). The explanations in this article assume some background in linear algebra and statistics. PCA is based on dimensionality reduction: “the process of reducing… Continue reading Advanced Machine Learning Techniques: Principal Component Analysis
The Julia Language – A New Pillar of Scientific Computing
By Camille D., Age 17 Developed in 2009 and made available in 2012, Julia is one of the fastest-growing languages in the industry. As it routinely makes an appearance in language popularity rankings, there is a potentiality for the language to outshine languages such as Python in the realm of computational science and general programming.… Continue reading The Julia Language – A New Pillar of Scientific Computing
Anvil: A New Standard for Python Web Development?
By Camille D, age 16 Create comprehensive websites simply by dragging and dropping, using Anvil – a Python-based service that takes a multifaceted approach to full-stack web development. Even with other platforms such as Squarespace and Weebly dominating the ecosystem of drag and drop-based web development, Anvil provides a direct path for users to not… Continue reading Anvil: A New Standard for Python Web Development?