Posts
PageRank
·1005 words·5 mins
PageRank, created by Google founders Larry Page and Sergey Brin, changed the web by ranking pages based on the quality and quantity of their links, rather than just keywords. It evaluates a page’s authority through its endorsements, improving the relevance and trustworthiness of search results.
Keynesian vs. Austrian vs. Monetarist Economics
·1015 words·5 mins
This article compares Keynesian, Austrian, and Monetarist economic theories, discussing their core principles, historical origins, and key figures. It highlights Austrian economics as the closest to libertarian values and examines the influence of these theories on modern global economic policies.
Diverse Roles in Data Science
·918 words·5 mins
In the rapidly evolving field of data science, several specialized roles have emerged to tackle various aspects of data management, analysis, and implementation. Among these roles, data scientists, data analysts, and data engineers are some of the most prominent.
Context vs Content
·736 words·4 mins
In the bustling world of digital media, the term content is ubiquitous. While content creation is about generating material, context creation involves crafting the setting and conditions that allow the content to be meaningful and impactful.
AlexNet Revolution
·1304 words·7 mins
In 2012, the field of artificial intelligence witnessed a seismic shift. The catalyst for this transformation was a deep learning model known as AlexNet.
Generative Adversarial Network
·753 words·4 mins
A neural network is like a highly sophisticated, multi-layered calculator that learns from data. It consists of numerous “neurons” (tiny calculators) connected in layers, with each layer performing a unique function to help the network make predictions or decisions.
Variational-Auto-Encoder
·729 words·4 mins
The beauty of VAEs lies in their ability to generate new samples by randomly sampling vectors from this known region and then passing them through the generator part of our model.
Auto-Encoder
·545 words·3 mins
An autoencoder begins its journey by compressing input data into a lower dimension. It then endeavors to reconstruct the original input from this compressed representation.
Delaunay Triangulation
·399 words·2 mins
Delaunay triangulation is a process that takes a set of points in n-dimensional space as input and returns a network of triangles connecting these points. The resulting structure is called a triangulation or mesh.
Paltering
·618 words·3 mins
Paltering reminds us that even truthful statements can be used to mislead. Understanding the context and limitations of facts, and the role of scientific method in informing but not dictating actions, is essential.