Introduction Recommender systems are ubiquitous, assisting us in discovering engaging content, things we find interesting, and even things we didn't know we liked. While you spend time on streaming platforms, you'll notice that the content suggested ...
Sometime in 2023, I came across the Knapsack Problem, a resource allocation situation in which you need to determine and place the optimal combination of items in a knapsack. Here, you are given a set of items, with each item having a weight (cost) a...
Data science is a vast realm brimming with groundbreaking techniques designed to conquer intricate challenges. Enter the autoencoder, a game-changer that has ignited a revolution among machine learning, deep learning, and computer vision experts. Wit...
Imagine for some reason, two of your favorite songs are playing on two different speakers, at different volumes, one louder than the other. There is a likely chance that you will involuntarily vibe to the louder song, why? Because it is louder. Simi...
Machine Learning models are built through an iterative process, whereby feedback from a previous run is considered in the next run. This flow is repeated until the most optimal results are achieved. Oftentimes, these repetitions involve experimenting...
Heart Disease otherwise called Cardiovascular disease (CVD) is an umbrella term for a number of conditions that affect the heart. You can find an extensive list of conditions that qualify as heart disease here. For simplicity and ease of understandin...
Heart Disease otherwise called Cardiovascular disease (CVD) is an umbrella term for a number of conditions that affect the heart. You can find an extensive list of conditions that qualify as heart disease here. For simplicity and ease of understandin...
