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 →
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 →
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 →
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 →
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 →
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 →
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 →
The realm of number theory is filled with profound mysteries, and among these, the Riemann zeta-function holds a prestigious place. A recent paper titled “More than five-twelfths of the zeros of $Œ∂$ are on the critical line” by Kyle Pratt,… Continue Reading →
The digital landscape is evolving rapidly, and one of the forefront technologies pushing this evolution is point cloud processing. With applications ranging from autonomous driving to augmented reality, the ability to efficiently handle point cloud data is crucial. One innovative… Continue Reading →
In the realm of social network analysis, understanding how relationships are formed and reported is paramount. The research conducted by Francis Lee and Carter T Butts delves deep into this area, specifically into the concepts of mutual assent and unilateral… Continue Reading →
As artificial intelligence (AI) becomes an integral part of our lives, understanding how these systems make decisions has never been more critical. Traditional methods of explaining AI decisions have focused primarily on what is present in the input data. However,… Continue Reading →
Network failures often bring chaos to even the most robust datacenter operations. Packet drops can lead to degraded performance, frustrating users and giving operators headaches. The research paper titled “007: Democratically Finding The Cause of Packet Drops” sheds light on… Continue Reading →
In recent years, the rapid evolution of artificial intelligence has brought about transformative techniques in the realm of image processing. One of the most promising approaches is the development of Generative Adversarial Networks (GANs), particularly when applied to unsupervised image… Continue Reading →
In the rapidly evolving field of machine learning, particularly in unsupervised image translation, Deep Attention Generative Adversarial Networks (DA-GAN) are poised to make experimental waves. This innovative framework addresses long-standing challenges associated with translating images across independent sets—an endeavor notoriously… Continue Reading →
In recent years, the intersection of machine learning and image generation has sparked significant interest, with innovative architectures reshaping how we synthesize visual content. Among them, the Image Transformer, developed by a talented group of researchers including Noam Shazeer, stands… Continue Reading →
The field of mathematical analysis often intersects with abstract concepts that can feel intimidating. One such concept is the generalized Egorov’s statement pertaining to the intriguing world of ideal convergence. Michał Korch’s recent research sheds light on this complexity, allowing… Continue Reading →
In the rapidly evolving field of machine learning, understanding variational inference and its components can become increasingly intricate. A recent study titled “Tighter Variational Bounds are Not Necessarily Better” questions some commonly held beliefs about evidence lower bounds (ELBOs) and… Continue Reading →