Abstract: Reinforcement Learning (RL) algorithms are widely considered to be the enabling technology for deep learning and allow for agents in complex systems to learn in a dynamic environment. In ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

This research contributes to the problem of financial inclusion in unbanked citizens by proposing a new credit scoring model by combining Fintech with machine/deep learning solutions and mobile data.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...