Let’s delves into the world of Generative AI based on Generative Adversarial Networks (GANs) to explore their mechanics, real-world applications, challenges, and prospects in revolutionizing various fields. Artificial intelligence (AI) has been evolving unprecedentedly, with advancements in various subfields leading to novel applications. One such intriguing area is Generative AI, a subset of AI that … Read more
Ever wondered how YouTube is able to give us relevant recommendations based on our taste in videos or how self-driving cars operate? All of this is possible because of Deep Learning. Deep learning is a machine learning approach that teaches the machines to learn by examples and experience. It is a technique where machines acquire … Read more
“Better data beats fancier algorithms.” Garbage in, garbage out is the motto that needs to be followed to build an accurate machine learning model. If the data under analysis is not accurate, then it is not useful. Irrespective of how accurate your model is, without data cleaning, it will deliver biased and inaccurate results. Thus, … Read more
Machine learning is one of the most popular domain the new age application development programmers and companies are encashing on—just another field of computer science, which leverages on the applied practice of mathematics as well as statistics. Why this created the buzz? Because it reduced the intensive logic implementations for processing the massive quantity of … Read more