I’ve been a perfectionist for as long as I can remember. For every single school assignment or project that was given to me, I would aim for 125% instead of 100%.
Although that may seem like a great thing at first glance, what did I get out of it?
Honestly, not much. To summarize, I got about two less hours of sleep, far less free time, and just about the same grade. …
In our daily lives, we are constantly being bombarded by data, but here’s the catch. Not all of it is digital. On average, we hear 30,000 words and speak at least 7000 daily.
Putting that into context, that’s the equivalent of about half the words in Harry Potter and the Sorcerer’s Stone, every single day.
As we all know, not every single word is important, and to track what is, we try taking notes. However, we suck at knowing about what’s going to come in handy, and this results in us taking down too many notes.
During times like these, in the midst of heavy changes to our lifestyle, one of the biggest threats we may face is complacency.
In essence, to be complacent means that you feel satisfied or secure, to a degree where you no longer push to make changes within yourself. To be complacent is to be satisfied with the status quo, and being unaware of it can end up being dangerous.
You’ve probably heard of the countless fitness trends that have burst onto the scene. Pilates, Crossfit, 8-minute abs, there have been tons of new routines that claim to help you lose weight and get fit.
With a growing focus on fitness/health coupled with America’s high obesity rates, it makes sense that all these would catch on, but how did they get started, and what makes them the best workouts?
Starting from the time of hunter-gatherers, nearly everyone exercised, not out of routine, but a necessity. …
We don’t often give a second thought as to how we can tell thousands of different objects apart. Whether it’s an apple or person, it doesn’t take us more than a few seconds to classify most objects.
Whether it’s an orange, a pen, or a phone, we as humans are excellent at recognizing and identifying objects. Telling the difference between a car and a piano might be trivial for us, but computers don’t have it quite that easy.
Computers aren’t able to naturally identify objects in the physical world, and breaking it all down, all a computer can fundamentally understand are binary ones and zeros. However, like most things in the known universe, it isn’t quite that simple.
795 million people don’t have enough food to live healthy lives, 25,000 die every day from starvation, and we lose enough food to drought to feed 81 million people a year. Clearly, we have a problem.
Our current system for tackling starvation and hunger isn’t working, and going vegan won’t be able to fix everything. We need to leverage exponential technologies to fundamentally change the way we grow food.
We’re often told to think things through, or to ponder and reflect on our thoughts. That might help to elevate our thought process, but there’s one key method that people usually miss out on.
Why should we stop at finding ways to think more about problems, when we can change the way we think about them instead?
This didn’t really occur to me until I started reading up on mental models. At its simplest, a mental model is an explanation of someone’s thought process, or a theory on how different aspects of the world work. …
Almost everyone likes to play games, and personally, I love video games. It doesn’t really matter what kind, but I’ll go for any solid strategy game. My platform of choice is the PC, and a few weeks ago I thought to myself, “My PC always lets me play the games, but what if I got it to play them for me?”
That’s what inspired me to start looking into reinforcement learning, which can be used to teach computers how to do things on their own, without any explicit instructions. …
We, as humans, have been fascinated by the concept of artificial intelligence since the 1950s. Sure, we can program computers and our devices to do things for us, but computers don’t have much of a purpose without instructions. With Reinforcement Learning, we are getting ever closer to something that can mimic the human mind.
Artificial Intelligence is the idea of being able to recreate human intelligence, and machine learning (ML) is a field of computer science that uses statistics and algorithms to teach computers how to do things without being told exactly what to do.
One area of ML that…
Machine Learning Developer/Enthusiast