pWith tremendous improvement in computational power and availability of rich data, almost all engineering disciplines use data science at some level. This textbook presents material on data science comprehensively, and in a structured manner. It provides conceptual understanding of the fields of data science, machine learning, and artificial intelligence, with enough level of mathematical details necessary for the readers. This will help readers understand major thematic ideas in data science, machine learning and artificial intelligence, and implement first-level data science solutions to practical engineering problems. ppThe book- pul p p liProvides a systematic approach for understanding data science techniquesli ulul p p liExplain why machine learning techniques are able to cross-cut several disciplines. li ulul p p liCovers topics including statistics, linear algebra and optimization from a data science perspective. li p p liProvides multiple examples to explain the underlying ide