Non-linear curve fitting, clustering and machine learning techniques belong to the modern step further towards computational intelligence. The purpose of this book is to provide an interactive and illustrative guide for this topic. It concentrates on the road from two-dimensional curve fitting multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics such as mathematical optimization or evolutionary algorithms untouched. The character of a recipe book illustrative equipped with certain parts that better address fundamental questions such as the relationship between human intelligence and machine learning. This section can be skipped without affecting the The main road but they will bring more exciting possibilities beyond mere data massage. All the topics that really demonstrated with the help of commercial computing platforms Mathematica and Computational Intelligence Package (CIP), a high level of library functions developed with Mathematica programming language on it Mathematica algorithm. The target readerships student (computer) science and engineering and scientific practitioners in industry and academia a decent introduction to this topic illustrative.