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AI and Machine Learning for Business is a practical guide that shows how businesses can use AI and ML to gain a competitive advantage. This book is meant for business professionals, entrepreneurs, management students, and future data leaders. It connects complex technical ideas with practical business uses.
The book is divided basically into five key units: Introduction of the basics of AI and machine learning frameworks. Outline of their development, key methods, and the differences between data science and machine learning. Next unit explores supervised learning. Its part will cover algorithms like linear regression, decision trees, logistic regression, and support vector machines.
In third part unsupervised learning methods such as clustering and association rules. It examines how businesses use these techniques for customer segmentation, product recommendations, and market basket analysis. Artificial Neural Networks and Deep Learning is explained in 4th part. It also includes recent developments in convolutional neural networks (CNNs) and their uses in areas like image recognition, text analytics, and financial forecasting.
In last part of the book Reinforcement Learning is explained in detail. It covers key models like Markov Decision Processes and Q-learning, along with real-world applications in robotics, operations optimization, and personalized recommendations.
Throughout the book, theoretical concepts are supported by real-life case studies, business scenarios, and practical insights. These examples show how AI and ML are relevant in areas like marketing, finance, operations, and human resource management. The content is academically rigorous and relevant to industry needs, making it suitable for both classroom learning and professional development.
Dr. Shubhendu Shekher Shukla, has completed his Ph.D (Management), M.Phil, MBA and MA (Sociology). Author is Member of Management Forum for American Association of International Researchers in American Research Institute for Policy Development, and Member of Editorial Board in several International peer reviewed Journals including Scopus Journals. He had worked with prominent IT Company (Wipro Technologies) as Project Manager for e-Governance that was a Central Government Project about e-District. Author holds more than 15 years of experience in academics, Research & Academic Administration.
He is currently working as Associate Professor in SRM Business School, Lucknow under the aegis of SR Group of Institutions, Lucknow in Department of Business Administration. During the academics author has publish 45 International Research Paper, 28 National Research Papers, attended 14 National Conferences and Seminars, 12 International Seminars. Author has already published 11 books on Marketing Analytics, Digital Marketing & E-Commerce, Rural Management, e-Governance and Computer Application in Management and Management Information System and Retail Management, Advertisement and Distribution Management, Rural Management. Author taught variety of subjects as Marketing Management, Digital Marketing & E-Commerce, Marketing Analytics, Rural Marketing, Production and Operation management.
1. Artificial Intelligence for Business Planning
2. Supervised Learning And Applications
3. Unsupervised Learning Algorithms
4. Artificial Neural Networks and Deep Learning
5. Reinforcement Learning
Technical Terminology
Index
