Machine Learning Essentials And Applications
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Machine Learning Essentials and Applications
Machine Learning Essentials and Applications a comprehensive of machine learning's core principles, methodologies, and real-world applications. This book is designed for both beginners and professionals, covering essential topics like supervised and unsupervised learning, neural networks, and deep learning. With clear explanations and practical examples, it connects theory to practice, showcasing machine learning’s impact across industries such as healthcare, finance, and technology. Ideal for readers seeking foundational knowledge and insights into the transformative potential of machine learning in various fields.
Machine Learning in Healthcare
Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.
Machine Learning Essentials and it's Application
Author: Prof. Yogendra Kumar
language: en
Publisher: Academic Guru Publishing House
Release Date: 2024-08-05
The book "Machine Learning Essentials and Its Applications" is an informative investigation of the basic concepts of machine learning as well as the many applications of this fascinating field. The fundamental ideas, methods, and algorithms that provide the foundation of machine learning are presented in this book in a format that is designed to lead readers through the process. In order to ensure that the reader has a complete grasp of the discipline, it covers a broad variety of topics, such as supervised and unsupervised learning, neural networks, natural language processing, and computer vision. In addition to providing theoretical information, the book has an emphasis on practical applications, demonstrating how machine learning can be used in a variety of fields, including healthcare, finance, transportation, and entertainment, among others. Every chapter contains case studies and hands-on activities to help readers get a more in-depth grasp of the subject matter and to motivate them to apply what they have learnt in the classroom to situations that they will encounter in the real world. The purpose of this book is to serve as a vital resource for everyone who is interested in understanding the transformational potential of machine learning. It was designed for students, instructors, and industry experts. The book "Machine Learning Essentials and Its Applications" is a necessary travel companion on iv the path to becoming an expert in this rapidly evolving topic since it provides lucid explanations, examples that illustrate the concepts, and important insights.