Transforming Text into Insights with Advanced NLP is an essential resource for mastering Natural Language Processing (NLP). Authored by experts Navin Kamuni and Suresh Dodda, this book covers everything from introductory text preprocessing to advanced NLP techniques. Additionally, it explores key concepts such as Named Entity Recognition, Sentiment Analysis, and text classification. The book also delves into deep learning methods like RNNs and Transformers, discussing their applications in various sectors, including healthcare and finance. So, practical examples and ethical considerations make this a valuable guide for NLP practitioners and machine learning specialist.

AI Unveiled provides a comprehensive introduction to artificial intelligence and its applications. The book covers the evolution of AI, including intelligent agent technology, problem-solving algorithms, and knowledge representation. It explains fundamental machine learning concepts and the ethical implications of AI. Moreover, focusing on the impact of AI across different industries, this book offers a detailed understanding of how innovations in artificial intelligence are shaping the future. So, ideal for students, professionals, and anyone curious about AI, it delivers both foundational knowledge and insights into AI’s societal effects.

Artificial Intelligence Concepts and Applications – Data Engineering” provides an in-depth exploration of the key concepts and applications of Al and data engineering. The book is designed for professionals and students who seek to understand the integration of Al into data-driven environments. Through real-world case studies and strategic insights, readers will learn how to harness Al to transform industries such as healthcare, banking, and financial services. The book covers essential topics like data architecture, machine learning models, and the modernization of intelligent platforms, offering a comprehensive guide for anyone interested in the intersection of Al and data engineering.

Real-Time Data Structures examines the evolution and application of dynamic data structures tailored for streaming data. The book covers the basics of streaming data, including data structure fundamentals and processing techniques. Furthermore, it offers insights into advanced structures designed for real-time data management in machine learning. With practical examples and comprehensive coverage, this guide is a key resource for data scientists and engineers dealing with live data streams, providing the tools needed to handle dynamic data effectively.

Harness AI explores the integration of artificial intelligence within robotics, from basic principles to advanced applications. The book covers robot anatomy, key AI techniques, and their impact on robotic capabilities. It provides a detailed look at how machine learning algorithms enhance robotic functionality, including practical case studies and real-world applications. Moreover, aimed at both professionals and enthusiasts, this book offers a thorough understanding of how AI is revolutionizing robotics and how to apply these advancements in various fields.

SAPAN BHARADWAJ BONALA IS A SEASONED EXPERT IN COMPUTER SCIENCE AND CLOUD ENGINEERING, WITH A STRONG ACADEMIC FOUNDATION IN INFORMATION TECHNOLOGY (B.TECH) AND ADVANCED STUDIES IN COMPUTER SCIENCE ENGINEERING (M.TECH, MS). HE HAS SERVED AS AN ASSISTANT PROFESSOR, WHERE HE MENTORED FUTURE ENGINEERS AND CONTRIBUTED TO ACADEMIC RESEARCH. HIS INDUSTRY EXPERIENCE INCLUDES ROLES AS A DEVOPS ENGINEER, SPECIALIZING IN AWS CLOUD SECURITY AND ENGINEERING, WHERE HE HAS DEVELOPED SECURE, SCALABLE CLOUD INFRASTRUCTURES. HIS EXPERTISE IN BOTH ACADEMIA AND INDUSTRY POSITIONS HIM AS A LEADING VOICE IN THE INTERSECTION OF AI, DEVOPS, AND CLOUD TECHNOLOGY.