AI

Artificial intelligence is growing in popularity since 2016 with, 20% of the big companies using AI in their businesses (McKinsey report, 2018). As per the same report AI can create substantial value across industries. In banking, for instance, the potential of AI is estimated at $300 billion, in retail the number skyrocket to $600 billion….

Key Difference Between Supervised and Unsupervised Learning In Supervised learning, you train the machine using data which is well “labeled.” Unsupervised learning is a machine learning technique, where you do not need to supervise the model. Supervised learning allows you to collect data or produce a data output from the previous experience. Unsupervised machine learning…

Key Difference between Machine Learning and Deep Learning The main differences between Machine Learning and Deep Learning are: Machine Learning provide an excellent performances on a small/medium dataset, whereas Deep Learning provide excellent performance on a big dataset ML work on a low-end machine, while DL requires powerful machine, preferably with GPU. Machine Learning execution…

What Is Fuzzy Logic? Fuzzy Logic is defined as a many-valued logic form which may have truth values of variables in any real number between 0 and 1. It is the handle concept of partial truth. In real life, we may come across a situation where we can’t decide whether the statement is true or…

What is Reinforcement Learning? Reinforcement Learning is defined as a Machine Learning method that is concerned with how software agents should take actions in an environment. Reinforcement Learning is a part of the deep learning method that helps you to maximize some portion of the cumulative reward. This neural network learning method helps you to…