Artificial Intelligence From A To Z
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Artificial Intelligence from A to Z
Author: Gopee Mukhopadhyay
language: en
Publisher: Educohack Press
Release Date: 2025-01-07
Artificial Intelligence from A to Z explores the vast realm of AI, taking readers on a journey from its evolution to future advancements. We delve into the development of AI to replicate human intelligence through disciplines like Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. This book focuses on creating intelligent systems capable of reasoning, learning, and problem-solving. We cover the science and engineering behind making intelligent machines, examining how AI mimics human intelligence without being restricted to biological methods. Starting with the evolution of AI in Chapter 1, we discuss problem-solving methods and search strategies in Chapter 2. Chapter 3 focuses on knowledge representation and reasoning, essential for complex tasks such as medical diagnosis and natural language dialogue. Subsequent chapters elaborate on different learning types, the role of robotics in AI, and the significance of Natural Language Processing (NLP). We explain machine learning and explore the ethical, legal, and practical considerations in AI. We also highlight future enhancements and applications, showcasing AI's transformative potential. By the end of this book, readers will gain a comprehensive understanding of AI concepts and their practical implementations, paving the way for successful careers in this dynamic field.
The Application of Artificial Intelligence
This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.
Artificial Intelligence
This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.