Machine learning has revolutionized numerous industries, from finance to healthcare, by enabling the development of intelligent systems capable of making predictions and decisions based on data. However, the success of machine learning projects relies heavily on the proper handling of data and the ability to build models that can adapt to real-world scenarios. In this essay, we will explore key aspects of data handling in machine learning, including data partitioning, bias mitigation, data leakage prevention, and addressing data drift.

Cross Entropy and Cross-Entropy Loss are closely related concepts, but they serve different purposes in the realm of probability theory and machine learning. Cross Entropy: Cross Entropy, at its core, is a measure of dissimilarity between two probability distributions. It quantifies how different one probability distribution is from another. It is expressed…

Photo by Mark mc neill on Unsplash

The loss function quantifies the disparity between a model’s predictions and the actual ground truth labels. At its core, the loss function measures how well a machine learning model is doing in terms of making accurate predictions. In classification tasks, the goal is to assign a label or class to…

In the dimly lit corners of existence, where the shadows of despair converge, I am drawn into a timeless struggle, a quest that has tormented the souls of thinkers, poets, and philosophers through the annals of human history: the despair called Life. Despair, like an ancient serpent, slithers beneath the…

The Global Interpreter Lock is a mutex (short for mutual exclusion) that protects access to Python objects, preventing multiple threads from executing Python bytecodes in parallel. It is built deep into the Python system and it is not possible at the moment to get rid of it. In simpler terms…

nolocal is used when we need to access a variable in a nested function.global makes a previously declared variable global. ‘nonlocal` and `global` keywords are used to specify the scope of variables within functions and classes. They are used to indicate whether a variable should be treated as a local…

In Python, the = (assignment) operation does not pass by reference. Instead, it binds a new name to the same object. This behavior is more accurately described as creating a reference to the object. …

A poem on a different love