دانلود کتاب طبقه بندی داده ها و خوشه بندی افزایشی در داده کاوی و یادگیری ماشین

 This  book is a comprehensive, hands-on guide to the basics of data mining  and machine learning with a special emphasis on supervised and  unsupervised learning methods. The book lays stress on the new ways of  thinking needed to master in machine learning based on the Python, R,  and Java programming platforms. This book first provides an  understanding of data mining, machine learning and their applications,  giving special attention to classification and clustering techniques.  The authors offer a discussion on data mining and machine learning  techniques with case studies and examples. The book also describes the  hands-on coding examples of some well-known supervised and unsupervised  learning techniques using three different and popular coding platforms:  R, Python, and Java. This book explains some of the most popular  classification techniques (K-NN, Naïve Bayes, Decision tree, Random  forest, Support vector machine etc,) along with the basic description of  artificial neural network and deep neural network. The book is useful  for professionals, students studying data mining and machine learning,  and researchers in supervised and unsupervised learning techniques