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Authors: Ehud Reiter (2025) - This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications.
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Authors: Planet, Code (2025) - "MACHINE LEARNING WITH PYTHON: A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications" is an essential read. Machine Learning with Python in this all-in-one guide designed for beginners and experienced developers alike! Whether you're diving into supervised and unsupervised learning, exploring neural networks, or mastering real-world applications, this book provides step-by-step explanations, hands-on examples, and expert insights.
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Authors: Arpita Nath Boruah (2025) - It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of the book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage.
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Authors: Taeho Jo (2024) - This popular book, updated as a textbook for classroom use, discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections.
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Authors: Bharat Bhushan (2025) - This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies. Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions.
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Authors: Akshi Kumar (2025) - This book provides an in-depth exploration of the latest advancements in NLP, offering a unique blend of theoretical foundations, practical applications, and future directions.
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Authors: Abhishek Das (2025) - This book teaches you to draw insights from your data. In today's data-driven business landscape, making informed decisions requires effective data analysis. This book guides you through the steps to import, structure, and visualize your data in R, and apply statistical and ML algorithms to drive better insights
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Authors: Manoj Kuppam (2024) - Part of author Saurav Bhattacharyas trilogy that covers the essential pillars of digital ecosystemssecurity, reliability, and usabilitythis book tackles the challenges of achieving high reliability in complex systems and provides strategies to overcome these obstacles. Youll start by reviewing the pivotal role of reliability in establishing the foundation of digital trust, essential for the sustainable growth of digital ecosystems.
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Authors: Gang Cheng (2025) - By reading this book, you will not only gain insights into the state-of-the-art of Wi-Fi 7 technology, but also develop a deep understanding of the origins, the process of developing Wi-Fi 7 products, various applications and solutions where Wi-Fi 7 can be utilized, and the current state of the industry in relation to Wi-Fi 7 technology compared to the other wireless technologies.
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Authors: Abhinav Krishna (2024) - This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.
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