Machine learning: (Coursera)
Costumers are grouped based on their purchasing hobbies to make separate market strategy for each group. Feature selection is the selection of a subset of the original variable. Feature extraction is the projection of the original variable into a new variable usually the smaller set of variables. The agents learn or perceive the information by interacting with the environment and select the decision based on the information and receive a reward which is a numerical value that the agent aims at maximizing over time. ---> Learns step-by-step trail method A reinforcement-learning agent learns by trial and error, just as animals and humans do when they learn to walk, talk, drive, cook, etc. Reinforcement learning finds application in many real-world problems, such as digital advertising, resource management, medicine, autonomous driving, automatic trading, and many others. In the next lectures, we will cover these three categories of mach...