Machine learning

Before you, one of the most interesting machine learning textbooks is a section of artificial intelligence that studies methods for building models capable of learning, and algorithms for their construction. The author gave tribute to the incredible wealth of the subject and did not miss the unifying principles from the type. The reader from the first pages is immersed in machine learning in action, but without not necessary at the first time of technical details. As the subject is studied, carefully selected examples, accompanied by illustrations, are gradually complicated.
The book describes a wide range of logical, geometric and statistical models, are also affected by such a theme science, as a matrix factorization and an RHP analysis. Particular attention is paid to the most important role of signs. Well-established terminology is complemented by the introduction of new useful concepts into consideration. At the end of each chapter, references to additional literature with copyright comments are given.
The book is clearly written and well organized. Starting with the basics, the author skillfully leads the reader, acquaintance with his useful facts and describing in detail the number of machine learning methods. Pseudocode of key algorithms is also given.
Thanks to all this, the book sets a new standard for studying such a complex discipline as machine learning