is a reader-friendly introductory guide to machine learning algorithms and techniques for practicing engineers, researchers, academicians, industry professionals, and students. Focusing on the application aspects of machine learning, the book progresses from the basics to advanced topics in a systematic way, from theory to applications and worked-out Python programming examples. The book offers highly illustrated, step-by-step demonstrations that allow readers to quickly implement machine learning models to solve real-world problems. This powerful tutorial is a great resource for those who need to quickly acquire a solid foundational understanding of machine learning.weiterlesen