The Evolution of Big Data And its Applications
In today’s digital age, the term “big data” has become ubiquitous, representing the massive volume of structured and unstructured data generated by various sources. This blog aims to delve into the evolution of big data, its significance in modern society, and its wide-ranging applications across different industries. What is Big Data? Big data is defined […]
Covid-19 Impact on online shopping trends: Accerating Digital Transformation
Introduction The COVID-19 pandemic has changed our lives in many ways, especially how we shop. People are now turning to online shopping more than ever before. It’s crucial to understand how this shift affects businesses and consumers. Studying the pandemic’s impact on online shopping trends helps us see how businesses can adapt and how consumers […]
Deep Reinforcement learning is a type of machine learning in Decision-Making
Introduction Reinforcement learning is a type of machine learning where a computer program, called an agent, learns to make decisions by interacting with an environment and receiving rewards or penalties for its actions. The goal is to maximise the cumulative reward over time. This type of learning is crucial in decision-making as it allows agents […]
Predictive Analytics: Forecasting Trends and Patterns
Introduction: Predictive analytics, a branch in the domain of advanced analytics, is used in predicting the future events. It analyses the current and historical data in order to make predictions about the future by employing the techniques from statistics, data mining, machine learning, and artificial intelligence. Trend forecasting helps businesses develop products that grow alongside […]
Robust Machine Learning: Building Models Resilient to Adversarial Attacks
1. Adversarial Machine Learning Adversarial machine learning is a machine learning method that aims to trick machine learning models by providing deceptive input. Hence, it includes both the generation and detection of adversarial examples, which are inputs specially created to deceive classifiers. Such attacks, called adversarial machine learning, have been extensively explored in some areas, […]
