New Strength Gains From Bar Speed & Acceleration

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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

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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

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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

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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

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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

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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

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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

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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?

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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

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“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

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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)

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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?

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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 Federated Learning Challenges and Solutions for Non-IID Data

In the ever-evolving realm of machine learning, federated learning has emerged as a game-changer, especially in scenarios where data privacy is paramount. As technology advances, the demand for decentralized machine learning strategies that accommodate the complexities of non-IID data is… Continue Reading →

Understanding Implicit Bias in Gradient Descent of Linear Convolutional Networks

In recent years, machine learning researchers have made significant strides in understanding the behavior of algorithms, particularly gradient descent. One such study that sheds light on an intriguing aspect of machine learning is the work titled “Implicit Bias of Gradient… Continue Reading →

Understanding the XENON1T Experiment: Insights from the One Tonne Dark Matter Detection Study

The quest to unravel the mysteries of dark matter continues to be one of the most captivating pursuits in modern astrophysics. With intriguing concepts such as Weakly Interacting Massive Particles (WIMPs) floating on the horizon of discovery, the XENON1T experiment… Continue Reading →

The Evolution of Internet Memes: Insights on Racist Memes and Political Influence

Internet memes have transcended simple entertainment; they now serve as powerful tools for influencing public opinion and shaping societal views. A research article titled “On the Origins of Memes by Means of Fringe Web Communities” sheds light on how these… Continue Reading →

Unlocking Adversarial Attacks: How AutoZOOM Enhances Black-Box Optimization

The evolution of artificial intelligence, particularly in deep learning, has brought about great advancements — yet it has also unearthed vulnerabilities. One significant area of concern is the development of adversarial examples that fool neural networks. With the introduction of… Continue Reading →

Revolutionizing Graph Comparison with Network Laplacian Spectral Descriptor

In the realm of data science and network analysis, the ability to compare and analyze graphs—collections of nodes connected by edges—has emerged as a cornerstone of research and application. However, traditional methods of graph comparison have long struggled with challenges… Continue Reading →

Unlocking the Power of Deep Graph Translation and GT-GAN for Data Insights

Understanding Deep Graph Translation: A New Frontier in Data Analytics Graph data is inherently complex, representing entities and their relations in a structured format. Traditional generative models have excelled in producing continuous data like images and audio, but a new… Continue Reading →

Unlocking the Potential of Deep Graph Translation: A New Frontier in Graph Generation

The landscape of artificial intelligence and machine learning is continuously evolving, with new concepts and models dazzling innovators and researchers alike. One such significant development is the idea of Deep Graph Translation, which represents a novel approach in the realm… Continue Reading →

Enhancing Object Recognition Through Human-Derived Attention Maps in Deep Convolutional Networks

In the realm of artificial intelligence, the quest for better visual recognition capabilities is ever-evolving. One of the latest breakthroughs comes from the intersection of attention mechanisms and human cognition. By leveraging insights from human behavior, researchers are pushing the… Continue Reading →

Unlocking the Mysteries of Calabi-Yau Manifolds and SU(3) Structures in String Theory

In the fascinating world of string theory, mathematical structures play crucial roles in understanding the fabric of our universe. One such structure is the intriguing Calabi-Yau manifold, particularly Calabi-Yau three-folds, which have been the subject of a recent research paper… Continue Reading →

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