Machine Learning (ML) is the process of training a model using the training data sets with right algorithms for accurate predictions. Validation in machine learning is like a authorization or authentication of the prediction done by a trained model.

While on the other hand, evaluation in machine learning refers to assessment or test of entire machine learning model and its performance in various circumstances. It involves assessment of machine learning model training process, deep learning algorithms performance and how accurate is the predictions given in different situations.

Source