Reinforcement Learning is a major area of interest within the field of machine learning. Its ability to learn without input data is opening new opportunities in different areas such as robotics and gaming. What is Reinforcement Learning? Reinforcement Learning is a type of Machine Learning technique based on Learning by feedback. Reinforcement Learning is a…

Improving the decision-making of the company is the ultimate goal of data science. It drives decision-making in every part of this modern society By suggesting what advertisement you watch, books you read, and Music you listen to. By recommending friends on social media, and emails that are filtered to spam on your mailbox. This massive…

Deep learning works better than traditional machine learning algorithms in many cases. Difference between deep learning and machine learning: Machine learning (ML) is a subfield of AI that consists of imitating human intelligence and learning from an experience without being previously programmed. ML algorithms include traditional methods such as Linear Regression, Logistic Regression, Decision Tree,…