help me retouch the following english with academic styleAs far as we know different algorithms have their own advantages and disadvantages and different algorithms are suitable for different types of

As it stands, various algorithms possess distinct strengths and weaknesses, and their applicability is contingent upon specific problem types. Consequently, it is imperative to judiciously select and optimize algorithms based on situational demands. Traditional algorithms are well-suited for handling problems characterized by small data volume and straightforward attributes, whereas deep learning algorithms prove most effective in resolving complex nonlinear problems. In cases where new problems bear resemblance to pre-existing ones, transfer learning algorithms represent a preferable alternative. Though ostensibly distinct, these algorithms are not mutually exclusive, but rather complement one another. For instance, the BSUV-Net deep learning algorithm referenced in literature [2] leverages the background established by traditional methods to facilitate object detection