Deep Learning, is a more evolved branch of machine learning, and uses layers of algorithms to process data, and imitate the thinking process, or to develop abstractions. It is often used to visually recognize objects and understand human speech. Information is passed through each layer, with the output of the previous layer providing input for […]
Machine Learning vs. Deep Learning
The debate on machine learning vs. deep learning has gained considerable steam in the past few years. The fundamental strength of both these technologies lies in their ability to learn from available data. Though both of these offshoot AI technologies triumph in “learning algorithms,” the manner in which machine learning (ML) algorithms learn is very […]
Artificial Intelligence Use Cases: An Overview
The biggest benefit of Artificial Intelligence (AI) Applications across industries is the tremendous adaptive capability of AI to fit into any industry sector. The number of Artificial Intelligence use cases are currently expanding throughout the Data Management industry in ways never seen. The rapid robotization of human functions has been perceptibly felt in many industries […]
Deep Learning and Machine Learning Differences: Recent Views in an Ongoing Debate
The science of Machine Learning (ML) has been around since the 1970s, but low horsepower processors and limited data forced the progress of Machine Learning to slow down in the 1980s. Ever since Big Data has enabled the use of unlimited “variety, volume, and velocity” business data, Machine Learning resurfaced as a powerful game changer […]
Cognitive Computing Demystified: The What, Why, and How
“Cognitive Computing comes from a mashup of cognitive science — the study of the human brain and how it functions — and computer science, and the results will have far-reaching impacts on our private lives, healthcare, business, and more,” says Bernard Marr, in What Everyone Should Know About Cognitive Computing. “Some people say that Cognitive […]