Download resources related to Artificial Intelligence & Computer Science.
Author: Christopher Bishop
By Christopher Bishop: The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning
Author: Jan Maarten Schraagen
Author Jan Maarten Schraagen .. freecomputerbooks.com
Author: American Dental Association
Explore the application of artificial intelligence (AI) and augmented intelligence in dentistry with this concise overview. Learn how AI technologies are transforming dental diagnostics, treatment planning, and patient care. Discover cutting-edge innovations and their potential to enhance efficiency and precision in dental practices worldwide.
Author: Edited by : Jae-Hong Lee
This book delves into the revolutionary impact of artificial intelligence (AI) on oral health. It explores how AI is reshaping diagnostics, treatment planning, and patient care in dentistry. Discover the latest advancements and their potential to optimize dental practices, improve outcomes, and transform the future of oral healthcare.
Author: Poornachandra Sarang
Struggling to navigate the ever-evolving world of data science? "Thinking Data Science: A Data Science Practitioner's Guide" cuts through the jargon and empowers you to think like a data scientist. This practical guide goes beyond just learning algorithms. It equips you with the problem-solving mindset and essential skills to tackle real-world challenges. From choosing the right model to building and evaluating it effectively, this book is your roadmap to becoming a data science practitioner who delivers impactful results.
Author: Alex Smola and S.V.N. Vishwanathan
This book provides a concise introduction to machine learning, focusing on essential concepts like supervised and unsupervised learning, regression, classification, and clustering. It offers practical insights into how these algorithms work and their applications across different industries. Ideal for beginners, it covers the basics while highlighting the significance of machine learning in modern technology and society.
Author: Patrick Henry Winston
This textbook is a comprehensive guide to artificial intelligence, suitable for both students and professionals in the field. It covers key topics such as problem-solving methods, knowledge representation, machine learning, natural language processing, and robotics
Author: Stephen Lucci & Danny Kopec
This book, "Artificial Intelligence in the 21st Century, Second Edition," provides a comprehensive introduction to artificial intelligence (AI). It covers fundamental topics such as the definition of AI, the Turing Test, differences between strong and weak AI, heuristics, and identifying AI-appropriate problems. The book also explores various AI applications and methods including search algorithms, games, automated reasoning, expert systems, neural networks, genetic algorithms, knowledge representation, and uncertainty reasoning.