The book has evolved alongside the rapid advancements in Artificial Intelligence and Machine Learning, making it an essential resource for both practitioners and students. It offers comprehensive insights into data science and analytics using Python, reflecting the growing importance of these fields in contemporary technology.
The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader with concepts in data science and analytics that were deemed to be more advanced or simply out of scope in the author's first book.
Focusing on practical application, this text equips students in physics, engineering, and related fields with essential commands and structures for MATLAB® and Octave. By emphasizing the similarities in syntax, it enables learners to write code applicable in both environments. Designed for accessibility, it assumes no prior programming knowledge, making it suitable for a diverse student audience. The book simplifies complex concepts, allowing students to harness the full potential of these programming languages effectively.