Deep Learning (DL) – Introduction to Basics
AILabPage defines Deep learning is “Undeniably a mind-blowing synchronisation technique applied on data with computing power, skills and experience which practically has no limits“.
AILabPage defines Deep learning is “Undeniably a mind-blowing synchronisation technique applied on data with computing power, skills and experience which practically has no limits“.
Unsupervised learning helps to find a hidden jewel in data by grouping similar things together. Data have no target attribute. The algorithm takes training examples as the set of attributes/features alone. In this post, I have summarised my whole upcoming book “Unsupervised Learning – The Unlabelled Data Treasure” on one […]
ML instructs an algorithm to learn for itself by analysing data. Algorithms here learn a mapping of input to output, detection of patterns or by reward. The more data it processes, the smarter the algorithm gets.
Artificial Neural Networks – As the name suggest “Neural Network”, they are inspired by the human brain system. ANNs were originally designed with biological neurons as a reference point thus sometimes they are called a brain model for computers. It’s more of a framework than an algorithm. ANNs […]
AILabPage define FinTech as “Technology applied to automate, speedup and secure financial system with its own standards chiefly used by financial institutions”. Financial institution here can be Bank, FinTech services company or mobile financial services provided.