설명
In this comprehensive textbook, readers embark on a journey through the evolving landscape of data science. The authors, Rajendra Akerkar and Priti Srinivas Sajja, expertly combine theoretical insights with practical applications, ensuring that learners grasp the essential concepts of intelligent techniques.
Throughout the book, various methodologies are explored, allowing students and professionals alike to enhance their understanding of data analysis and decision-making. Real-world case studies illustrate how these intelligent techniques can be applied in diverse scenarios, making complex ideas accessible and relatable.
The engaging writing style and structured approach facilitate a deeper comprehension of crucial topics such as machine learning, data mining, and artificial intelligence. This resource serves as a valuable companion for anyone eager to delve into the intricate world of data science and improve their analytical capabilities.
Throughout the book, various methodologies are explored, allowing students and professionals alike to enhance their understanding of data analysis and decision-making. Real-world case studies illustrate how these intelligent techniques can be applied in diverse scenarios, making complex ideas accessible and relatable.
The engaging writing style and structured approach facilitate a deeper comprehension of crucial topics such as machine learning, data mining, and artificial intelligence. This resource serves as a valuable companion for anyone eager to delve into the intricate world of data science and improve their analytical capabilities.
책 세부 정보
형식
하드커버
페이지
288 페이지
언어
영어
출판됨
Oct 18, 2016
출판사
Springer
ISBN-10
3319292056
ISBN-13
9783319292052