This chapter is concerned with the advanced supervised learning, including the semi-supervised learning. We start with the three versions of the Kohonen Networks: the unsupervised version, the supervised version, and the semi-supervised version. Afterward, as another kind of semi-supervised learning algorithm, we present some models with the combinations of the supervised learning algorithm with the unsupervised learning algorithm. We explore some techniques for advancing the supervised learning, including the resampling and the co-learning. There are two kinds of semi-supervised learning: a single model which is derived from an unsupervised learning algorithm and a combined model which consists of a supervised learning algorithm and an unsupervised one. This chapter is intended to study the semi-supervised learning as the additional one to the two types of machine learning which are covered, respectively, in Parts II and III. This chapter is concerned with the advanced supervised learning, including the semi-supervised learning. We start with the three versions of the Kohonen Networks: the unsupervised version, the supervised version, and the semi-supervised version. Afterward, as another kind of semi-supervised learning algorithm, we present some models with the combinations of the supervised learning algorithm with the unsupervised learning algorithm. We explore some techniques for advancing the supervised learning, including the resampling and the co-learning. There are two kinds of semi-supervised learning: a single model which is derived from an unsupervised learning algorithm and a combined model which consists of a supervised learning algorithm and an unsupervised one. This chapter is intended to study the semi-supervised learning as the additional one to the two types of machine learning which are covered, respectively, in Parts II and III.