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I. Introduction Non-locality is a fundamental concept in quantum physics that describes the phenomenon where the state of one particle is dependent on the state of another particle, even if they are separated by large distances. This phenomenon is a direct result of the entanglement between particles, and it has important implications for our understanding…

Introduction Imagine waking up one morning and discovering that the foundation of your home, the very ground you walk on, and even the air you breathe, is composed of countless tiny particles, buzzing and interacting in a dance of unimaginable complexity. This isn’t the plot of a science fiction novel; it’s the reality we live…

Introduction Imagine holding a pair of dice, one in each hand. You throw them into the air, and even before they land, the result of one die mysteriously determines the outcome of the other, no matter how far apart they are. This, in essence, is the puzzling dance of quantum entanglement. Two particles become so…

Logistic Regression – a concept that sounds somewhat academic, yet it’s used every day in various fields including machine learning. But fear not! This article is here to unmask this seemingly complex subject and make it accessible to everyone, even those without a PhD in statistics. Let’s take a step-by-step look at what Logistic Regression…

In the sprawling landscape of machine learning algorithms, Support Vector Machines (SVM) stand tall, offering a unique blend of elegance and efficiency. Often, these mathematical marvels perform with an uncanny knack for separating the wheat from the chaff, drawing clear boundaries in complex datasets. But how do they do it? Let’s take a journey into…

The dynamic field of machine learning never ceases to impress. Today, we’re going on an adventure to unearth the secrets of auto-regressive text generation models. Using PyTorch, we’ll learn to build such a model from scratch. The model will train on the intriguing Tiny Stories Dataset which is a set of simple children stories that…

“We are what we repeatedly do. Excellence, then, is not an act, but a habit.” Aristotle Just as the philosopher Aristotle believed that we are the product of our habits, the K-Nearest Neighbors (KNN) algorithm, an intuitive wizard in the realm of machine learning, operates on a similar principle. It’s founded on the notion that…

Machine learning is an ever-evolving field, brimming with wonders and mind-bending concepts. Among these, one model stands out for its unique ability to learn and make predictions based on sequential data: Recurrent Neural Networks (RNNs). RNNs are a breed of neural networks that introduce an exciting twist to the traditional architecture – they remember. In…

Diving into the intricate labyrinth of Neural Networks, one may feel like an explorer embarking on a thrilling journey through an ever-expanding universe. From simple neural connections to complex layered architectures, these computational models form the backbone of the revolutionary field we know as machine learning. This article invites you on an expedition to understand,…

Neural networks have always been at the bleeding edge of technological advancement, evolving at an impressive pace. Every so often, a fresh wave of innovation takes us by surprise and nudges the field forward. One such ripple is EfficientNet, a newer player in the grand theater of deep learning. Now, before we delve into the…