Introduction A brief overview of the shifting global dynamics from a unipolar world to a multipolar world In the span of the last two decades, the world has witnessed a significant transformation in global power dynamics, transitioning from a unipolar world to a multipolar landscape. The dominance of a single superpower…

A Geopolitical Perspective — Introduction Definition of a multipolar world — In the realm of geopolitics, a multipolar world refers to a global order characterized by the presence of multiple centres of power and influence. It stands in contrast to a unipolar world, where power is predominantly concentrated in the hands of a single dominant…

A structured framework for spiritual advancement — According to Swami Vivekananda, who lived more than a century ago, no religion is particularly beneficial if we cannot apply its teachings to our daily lives. Without it, it is more of a philosophical and verbal acrobatics of the mind. Last week I watched a talk given by Swami Sarvapriyananda ji…

It is indeed a wrapper of the pycaret library for the features I have discussed in this particular article. However, Pyoraange has some additional features related to NLP which are not in pycaret. I have not discussed the NLP feature in this article. Now that you have mentioned it, I will publish the NLP features of Pyorange.

Clean data is the oxygen that enables the trained machine learning models to deliver Olympic-level performance. — When we started learning COBOL in high school, one of the first things the teacher introduced was the concept of GIGO. GIGO stands for “garbage in, garbage out”. If we input clutter mishmash data to a program, it will either error out or provide inaccurate results. This fundamental principle has…

Narrative of an average day of a knowledge worker surrounded by innovative technologies powered by AI. — It is 24th April 2050, three in the morning in London. I have selected a suspense theme dream for tonight. A biometric chip implanted in my wrist monitors my circadian sleep rhythm. The advancement in our understanding of human brains and the machine-human interface made it possible to control most…

Capture the untapped potential of your machine’s computing power in machine learning programming — It’s 2004, and I started my first job after completing my engineering. I always wanted to focus on programming and brought my first desktop to learn advanced C++. Yes, you read correctly — a DESKTOP, as a laptop in those days was super expensive and beyond my reach. …

Select appropriate classifiers empirically and automatically for the prediction scenarios from scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more. — As machine learning professionals, we must consider several aspects to develop a good model. …

A guide for executives and senior leaders — Introduction: What is machine learning Machine learning is the science of enabling computers to find or suggest solutions without being programmed for every possible scenario. …