3 Review(s)

"This book makes an effort to clarify principles through numerous examples in the fields of machine/deep learning, big data, Python, R, computer vision, and data research. It explores how 'recommendation systems' can be improved and how companies can increase sales of their products, illustrated with practical examples.• The book covers both Python and R languages, making it essential for learning data science concepts through important statistical examples.• It is enjoyable for anyone in various walks of life, educators, parents, and professionals alike, without any doubt.• Data science teaches us how to use data, from securing credit cards to changing political policies.• Reading this reveals how data is used to sell products according to customer preferences based on their geographical (location), demographic (age, gender, etc.), behavioral (based on habits), psychological (emotional/mental), and technological preferences.The book aims to provide a comprehensive understanding with the help of practical examples and data, making it relevant in today's data-driven world."