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H > Blog > AI Courses & Books > Top 5 AI Research Books in 2024
AI Courses & BooksBlog

Top 5 AI Research Books in 2024

humanoid.co.in By humanoid.co.in Last updated: October 22, 2023 3 Min Read
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ARTIFICIAL INTELLIGENCE BOOKS: A Treasure Trove for Learning and Exploration

The rapidly expanding field of Artificial Intelligence (AI) is reshaping industries and driving technological advancements. Whether you’re a beginner or an advanced learner, delving into the world of AI requires a comprehensive understanding of its fundamental concepts and applications. Fortunately, a multitude of excellent resources are available, ranging from textbooks to lecture notes and comprehensive guides.

Here’s a curated list of some of the most valuable and insightful AI resources available for enthusiasts and professionals alike.

1. Explorations in Artificial Intelligence and Machine Learning by Prof. Roberto V. Zicari

Explorations in Artificial Intelligence and Machine Learning by Prof. Roberto V. Zicari
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This comprehensive 178-page PDF serves as an excellent introduction to various AI and machine learning concepts. From the fundamentals of machine learning to the intricacies of neural networks and deep learning, this book provides a solid foundation for those looking to delve deeper into the world of AI.


2. Artificial Intelligence and Games by Georgios N. Yannakakis and Julian Togelius

Artificial Intelligence and Games by Georgios N. Yannakakis and Julian Togelius
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With a focus on AI’s application in the gaming industry, this 359-page PDF provides a comprehensive overview of AI methods and their integration into game development. From AI methods to player modeling, this book is a must-read for those interested in the intersection of AI and gaming.


3. Lecture Notes on Artificial Intelligence by Dr. Prashanta Kumar Patra

Lecture Notes on Artificial Intelligence by Dr. Prashanta Kumar Patra
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Dr. Patra’s 128-page book delves into the core techniques of AI, covering heuristic search techniques, problem-solving methods, and symbolic reasoning under uncertainty. These lecture notes provide an invaluable resource for gaining a deeper understanding of AI techniques.

4. Machine Learning Advanced Techniques and Emerging Applications by Hamed Farhadi

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While the page count is not specified, this book covers recent advances in machine learning techniques applied across various industries. With a focus on smart cities, automated industries, and emerging businesses, this resource offers insights into the cutting-edge applications of AI and machine learning.

5. Introduction to Artificial Intelligence by Prof. Bojana Dalbelo Basic and Assoc. Prof. Jan Snajder

Introduction to Artificial Intelligence by Prof. Bojana Dalbelo Basic and Assoc. Prof. Jan Snajder
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Covering diverse topics such as humanoid robots and real-time machine translation, this r for individuals looking to grasp the breadth of AI’s applications.

These resources represent just a fraction of the diverse and extensive literature available on Artificial Intelligence. From foundational concepts to advanced techniques and emerging applications, the world of AI offers boundless opportunities for exploration and innovation. Whether you’re an aspiring AI enthusiast or a seasoned professional, these resources are sure to enrich your understanding and inspire your journey into the exciting realm of Artificial Intelligence.

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