In today’s popular techblogs “trasfer learning” simply means the reuse of pretrained neural network models, but actually the term spans a much wider spectrum of technical treatments. In this chapter, we will investigate some important approaches to carry out machine learning using knowledge transfer and domain adaptation. We start on the instance based approach which is more aligned with traditional machine learning, and then dive into the wonderful world of feature space based approach using some deep learning frameworks.