New Strength Gains From Bar Speed & Acceleration

Sticky post

I’ll warn you right off the bat, this article gets pretty conceptual, but sometimes it helps to look at things from a new perspective. When we test our strength gains by maxing out in the gym what we are essentially… Continue Reading →

Quantifying Risk Aversion to Optimize Your Decisions

Sticky post

One commonly known tendency of humans is that we are often more afraid of loss than we are motivated by the possibility of gain. While this feature of humans often works in our favor, there are many times when it… Continue Reading →

Predicting Sunsets with Machine Learning

Sticky post

This is the machine learning python program that I created to model sunsets and tweet a daily sunset prediction based on the current weather metrics. The following three functions are to collect location and contact info for first time users…. Continue Reading →

Scraping Google Trends With Python

Sticky post

If you’ve ever done SEO research or tried to coming up with content ideas, you how useful Google Trends can be when it comes to determining what people are interested in your niche. I was making SEO trend reports at… Continue Reading →

Different Is Not Always Unique

Sticky post

I remember back in University my Psych professor was explaining the categories of human needs, among which is the need for affiliation. He went on to mention that the counterpart of affiliation has become more prevalent over the past few… Continue Reading →

Altruism Is an Illusion and That’s Okay

Sticky post

What is Altruism? A quick google search for altruism and you would find it defined as, “the unselfish regard for or devotion to the welfare of others.” In other words, altruism is the idea that someone can do something for another… Continue Reading →

Scraping Linkedin Posts With Selenium & Beautiful Soup

Sticky post

This is a program that I build to scrape post data from LinkedIn pages. It currently extracts the date, media type, text, like count, comment count, share count, and any media links. Let’s get into this.. Required Python Packages and… Continue Reading →

How to Scrape Tweets Containing Keywords with Python

Sticky post

This is the code I wrote to scrape tweets from Twitter with python through the Twitter Search (Rest) API. I designed it to search twitter for various keywords tweeted by users and return the result in table. Introducing this program… Continue Reading →

Can Your Metabolism Actually Be Damaged from Dieting?

Sticky post

The term “Damaged Metabolism” is thrown around quite often in the diet and fitness internet sphere. The idea behind it is that by dieting or restricting for a period of time, your metabolism slows down and no longer function the… Continue Reading →

Don’t Throw Tai Lopez Out With the Bathwater

Sticky post

“Here in my Garage, just bought this new Lamborghini here…” You may recognize this line from the infamous Tai Lopez advertisement where he shows off his cars and books before instructing you to visit his website. Although the ad has… Continue Reading →

Become Your Ideal Self Through Comfort Challenges

Sticky post

When we watch movies, there is usually one character that catches our attention. You may admire or even imagine yourself as him or her. Let me ask you: What are the common traits of these characters? Chances are these characters… Continue Reading →

Increase Your Deadlift 100 Pounds (Step-By-Step Guide)

Sticky post

My main strength goal in 2018 was to increase my deadlift by 100 pounds and finally obtain a 600-pound deadlift. I started my journey with a deadlifting PR of 500 pounds in January and hit many minor personal records along… Continue Reading →

Is Price Gouging Really That Bad?

Sticky post

Anytime there is a storm or some other disaster I often hear the mention of price gouging. Whether discussed on the local news or Facebook comments, price gouging is almost always portrayed in a negative light. What is Price Gouging? Price gouging… Continue Reading →

Understanding the Invertibility of Adjacency Matrices in Random d-Regular Graphs

Graph theory is an important area of mathematics and computer science that provides insights into various structures and relationships in complex systems. One particularly fascinating aspect of this field is the study of random graphs, specifically the invertibility of adjacency… Continue Reading →

Understanding Anisotropic Growth and Lensing in Modified Gravity with Vector Fields

In the vast realm of cosmology, the study of modified gravity theories presents intriguing possibilities that can reshape our understanding of the universe. Recent research dives deep into parametrizing modified gravities through an additional vector field, and this article aims… Continue Reading →

Understanding Graduality in Programming Languages through Embedding-Projection Pairs

In recent years, the realm of programming has seen a fascinating evolution towards gradual typing, a hybrid model that seeks to find harmony between the stringent guidelines of static typing and the flexibility offered by dynamic typing. A pivotal piece… Continue Reading →

Revolutionizing Architectural Design: Optimizing 3D Models Through Guided Proceduralization

In recent years, the architectural landscape has transformed drastically, propelled by advancements in technology and software. Among these innovations is a research framework known as guided proceduralization, which provides a fresh perspective on optimizing geometry processing in architectural models. This… Continue Reading →

Unlocking the Future: The CoMID Framework for Context-Aware Anomaly Detection in Cyber-Physical Software

The rapid evolution of technology has paved the way for innovative applications in cyber-physical systems, where software continuously interacts with physical environments. However, these interactions can lead to unexpected errors and even catastrophic failures when the software’s assumptions about its… Continue Reading →

Unveiling the Relativistic Discriminator: A Leap Forward in Advanced Generative Models

Over the past few years, generative adversarial networks (GANs) have reshaped the landscape of artificial intelligence. They can generate anything from hyper-realistic images to original pieces of music, yet researchers continue to seek improvements. One such advancement is the concept… Continue Reading →

Unlocking Fairness in AI: Understanding Gradient Reversal for Neural Networks

In the rapidly evolving field of artificial intelligence, one critical concern has become increasingly pronounced: the presence of bias in machine learning models. This issue is particularly evident in neural networks used for tasks ranging from hiring to lending decisions…. Continue Reading →

The Substitution Property of Continuous Rational Functions: Insights into Algebraic Affine Varieties

Understanding the intricacies of algebraic geometry can feel daunting, but recent research into the substitution property of continuous rational functions sheds light on this complex topic. This article aims to break down the key findings from the research study by… Continue Reading →

Unlocking the Power of ResNet Architecture: The Role of One-Neuron Hidden Layers as Universal Approximators

Artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, and understanding the underlying architectures is crucial for leveraging their full potential. One such architecture, the Residual Network (ResNet), has taken significant strides in image and data processing. Recent… Continue Reading →

Understanding Arithmetically Nef Line Bundles in Algebraic Geometry

When delving into the intricate world of algebraic geometry, the concepts of nef line bundles and their arithmetically nef counterparts emerge as crucial. These ideas contribute significantly to our understanding of geometric properties on schemes—mathematical constructs that generalize the notion… Continue Reading →

« Older posts

© 2024 Christophe Garon — Powered by WordPress

Theme by Anders NorenUp ↑