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Books like Artificial intelligence by Q. L. Pearce

Name: Artificial intelligence
Author: Q. L. Pearce

📘 Artificial intelligence by Q. L. Pearce

First publish date: 2011

Authors: Q. L. Pearce

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Books similar to Artificial intelligence (9 similar books)

📘 The Elements of Statistical Learning

by Trevor Hastie

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

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📘 Deep Learning

by Ian Goodfellow

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

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📘 Introducing Artifical Intelligence

by Henry Brighton

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📘 Learning From Data

by Yaser S. Abu-Mostafa

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📘 The science of artificial intelligence

by Fred D'Ignazio

Defines artificial intelligence, compares it with human intelligence, and explains how it is being used in computer technology and robotics.

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📘 Pattern Recognition and Machine Learning

by Christopher M. Bishop

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📘 Introduction to artificial intelligence

by Philip C. Jackson

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📘 Artificial intelligence

by Belgum, Erik

Explores the history and ethics of artificial intelligence, weighing the benefits and risks of creating intelligent machines and presenting differing viewpoints on the future of computer-driven learning.

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Books like Artificial intelligence

📘 Artificial intelligence

by Stephanie Sammartino McPherson

Explore the evolution of artificial intelligence from its earliest concepts to modern applications in smart cars and drones, and examine how AI and neurology intertwine to build thinking machines.

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Some Other Similar Books

Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Artificial Intelligence: Foundations of Computational Agents by David L. Poole and Alan K. Mackworth
Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman

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