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 →
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 →
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
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 →
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?
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 →
In the cosmos, the aftermath of a star’s explosive birth—commonly known as a supernova—can leave behind remnants that are as fascinating as they are complex. Recent research conducted by Conor Omand and colleagues dives into the mechanisms that govern dust… Continue Reading →
The realm of quantum gravity stands at the forefront of theoretical physics, challenging our understanding of the universe. One of the pivotal ideas in this domain is the Weak Gravity Conjecture (WGC). The recent work by Miguel Montero presents a… Continue Reading →
The world of machine learning and computer vision continues to evolve, especially in areas such as 3D data analysis and segmentation. One of the cutting-edge advancements in this domain is the Generative Shape Proposal Network (GSPN), which is pivotal for… Continue Reading →
In the ever-evolving landscape of modern physics and mathematics, Calabi-Yau manifolds represent a captivating intersection of geometry, theoretical physics, and, more recently, machine learning in physics. This intricate mathematical structure not only enriches our understanding of the universe but also… Continue Reading →
In today’s world, the need for reliable and efficient communication systems cannot be overstated. As we continue to push the boundaries of technology, particularly in the realms of network communication, we must innovate and improve our algorithms. One promising development… Continue Reading →
As e-commerce continues to thrive in the digital age, optimizing logistics processes has never been more critical. One of the most significant costs encountered by logistics providers is packing cost, which stems from how efficiently items are stored and shipped…. Continue Reading →
In the vast and often complex realm of data science, finding efficient methods for similarity searches is a critical challenge. Often, traditional algorithms struggle to keep up with the increasing dimensions in the data they analyze. However, a groundbreaking approach… Continue Reading →
As we step further into the world of virtual reality, the demand for seamless 360-degree video streaming at home is on the rise. The advent of ultimate virtual reality access fundamentally hinges on network performance, particularly regarding latency and bandwidth…. Continue Reading →
In today’s rapidly evolving digital landscape, the demand for effective, real-time anomaly detection systems has surged alongside the exponential growth of data. Anomalies—unexpected deviations from expected patterns—can arise from various sources, including errors, fraud, or operational inefficiencies. Therefore, developing a… Continue Reading →
Natural Language Inference (NLI) has emerged as a pivotal topic in the field of artificial intelligence and computational linguistics. Research into NLI models has shown that while neural networks can perform impressively on benchmark tasks, they may not fully comprehend… Continue Reading →