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Book Publication Made Easy
Book Publication Made Easy
At Schmidt & Bailey Publication House, we simplify the book publishing process, making it seamless and stress-free for authors. Whether you’re an aspiring writer or a seasoned author, our end-to-end book publication services are designed to bring your vision to life. From professional editing and captivating cover design to formatting and distribution, we handle every step with precision and care. Our team ensures your manuscript transforms into a high-quality book that resonates with readers. With flexible publishing models, including traditional and self-publishing options, we provide global reach and tailored support to meet your goals. Publishing your book has never been easier—partner with us to make your story a success.
At Schmidt & Bailey Publication House, we simplify the book publishing process, making it seamless and stress-free for authors. Whether you’re an aspiring writer or a seasoned author, our end-to-end book publication services are designed to bring your vision to life. From professional editing and captivating cover design to formatting and distribution, we handle every step with precision and care. Our team ensures your manuscript transforms into a high-quality book that resonates with readers. With flexible publishing models, including traditional and self-publishing options, we provide global reach and tailored support to meet your goals. Publishing your book has never been easier—partner with us to make your story a success.
The Essentials of Machine Learning: Theory to Applications
Dr. Kuldeep Singh, Dr. George Kurian, & Dr. Prathamesh Muzumdar
The Essentials of Machine Learning: Theory to Applications is a comprehensive guide designed to bridge the gap between foundational theories and real-world applications of machine learning. Written for students, researchers, and professionals, this book offers clear explanations of core concepts, algorithms, and techniques while showcasing their practical utility across diverse industries. With a balanced focus on theory and hands-on examples, it serves as an essential resource for mastering the rapidly evolving field of machine learning.
The Essentials of Machine Learning: Theory to Applications is a comprehensive guide designed to bridge the gap between foundational theories and real-world applications of machine learning. Written for students, researchers, and professionals, this book offers clear explanations of core concepts, algorithms, and techniques while showcasing their practical utility across diverse industries. With a balanced focus on theory and hands-on examples, it serves as an essential resource for mastering the rapidly evolving field of machine learning.
Theory of Organizational Justice: Dynamics of Workplace Fairness & Equity
Dr. Prathamesh Muzumdar
Theory of Organizational Justice: Dynamics of Workplace Fairness and Equity explores the fundamental principles of fairness in the workplace and its impact on employee behavior, motivation, and organizational success. The book delves into key dimensions of organizational justice—distributive, procedural, and interactional—while examining their role in fostering trust, engagement, and ethical work environments. It also highlights the effects of justice on workplace dynamics such as recruitment, stress management, bias reduction, and human resource development. Through theoretical insights and empirical research, this book provides a comprehensive guide for leaders, HR professionals, and researchers seeking to enhance fairness and equity in organizations.
Theory of Organizational Justice: Dynamics of Workplace Fairness and Equity explores the fundamental principles of fairness in the workplace and its impact on employee behavior, motivation, and organizational success. The book delves into key dimensions of organizational justice—distributive, procedural, and interactional—while examining their role in fostering trust, engagement, and ethical work environments. It also highlights the effects of justice on workplace dynamics such as recruitment, stress management, bias reduction, and human resource development. Through theoretical insights and empirical research, this book provides a comprehensive guide for leaders, HR professionals, and researchers seeking to enhance fairness and equity in organizations.
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