Machine Learning in Multimedia by Suman Kumar Swarnkar (.ePUB)+
File Size: 15.5 MB
Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence by Suman Kumar Swarnkar, Annu Sharma, J. Somasekar, Bharat Bhushan
Requirements: .ePUB, .PDF reader, 15.5 MB
Overview: This book explores the interdisciplinary nature of Machine Learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing (NLP), and audio signal processing. Whether you’re a seasoned researcher, a curious student, or a practitioner looking to leverage the power of AI, this book is designed to provide you with a deep dive into the intersection of multimedia and Machine Learning. Throughout the chapters, we explore the foundational principles of Machine Learning, delving into algorithms, models, and techniques tailored specifically to multimedia data. From image classification and object detection to speech recognition and audio processing, each topic is meticulously crafted to provide both theoretical insights and practical implementations. Moreover, this book goes beyond mere technical discussions. We delve into real-world case studies and applications, showcasing how Machine Learning is revolutionizing industries and reshaping the way we interact with multimedia content. This book will be helpful to Computer Science, Data Science, and Artificial Intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of Machine Learning.
Genre: Non-Fiction > Tech & Devices
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