Advanced Machine Learning with R

Learning paradigm

Most learning paradigms that are followed in other books or content about ML follow a bottom-up approach. This approach starts from the bottom and works its way up. The approach first covers the theoretical elements, such as mathematical introductions to the algorithm, the evolution of the algorithm, variations, and parameters that the algorithm takes, and then delves into the application of the ML algorithm specific to a dataset. This may be a good approach; however, it takes longer really to see the results produced by the algorithm. It needs a lot of perseverance on the part of the learner to be patient and wait until the practical application of the algorithm is covered. In most cases, practitioners and certain classes ...