16 free E-books to kickstart your Artificial Intelligence programming

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If you have been searching for AI books to help you with as good start then you have come to the right place these book covers the basics to high end stuff.

1. A Course in Machine Learning

Machine learning is the study of computer systems that learn from data and experience. It is applied in an incredibly wide variety of application areas, from medicine to advertising, from military to pedestrian. Any area in which you need to make sense of data is a potential customer of machine learning.

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2. Simply Logical: Intelligent Reasoning by Example

An introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material. A unique advantage to this work is the combination of AI, Prolog and Logic. Each technique is accompanied by a program implementing it. Seeks to simplify the basic concepts of logic programming. Contains exercises and authentic examples to help facilitate the understanding of difficult concepts.

 

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3. Logic for Computer Science: Foundations of Automatic Theorem Proving

Covers the mathematical logic necessary to computer science, emphasising algorithmic methods for solving proofs. Treatment is self-contained, with all required mathematics contained in Chapter 2 and the appendix. Provides readable, inductive definitions and offers a unified framework using Getzen systems.

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4. Artificial Intelligence: Foundations of Computational Agents

This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture.

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5. Practical Artificial Intelligence Programming in Java

This book has been written for both professional programmers and home hobbyists who already know how to program in Java and who want to learn practical AI programming techniques. In the style of a “cook book”, the chapters in this book can be studied in any order. Each chapter follows the same pattern: a motivation for learning a technique, some theory for the technique, and a Java example program that you can experiment with.

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6. Essentials of Metaheuristics

The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 70 figures and 133 algorithms great and small.

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7. A Quick and Gentle Guide to Constraint Logic Programming

Introductory and down-to-earth presentation of Constraint Logic Programming, an exciting software paradigm, more and more popular for solving combinatorial as well as continuous constraint satisfaction problems and constraint optimisation problems.

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8. Clever Algorithms: Nature-Inspired Programming Recipes

This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralised manner. These standardised descriptions were carefully designed to be accessible, usable, and understandable.

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9. Clever Algorithms: The Mathematical Logic distribution

Covers the mathematical logic necessary to computer science, emphasizing algorithmic methods for solving proofs. Provides readable, inductive definitions and offers a unified framework using Getzen systems. Offers unique coverage of congruence, and contains an entire chapter devoted to SLD resolution and logic programming (PROLOG).

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10. Common LISP: A Gentle Introduction to Symbolic Computation

This highly accessible introduction to Lisp is suitable both for novices approaching their first programming language and experienced programmers interested in exploring a key tool for artificial intelligence research.

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11. Bio-Inspired Computational Algorithms and Their Applications

This book integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimisation, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques.

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12. The Quest for Artificial Intelligence

This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today’s AI engineers.

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13. Planning Algorithms

Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications.

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14. Virtual Reality – Human Computer Interaction

At present, the virtual reality has impact on information organisation and management and even changes design principle of information systems, which will make it adapt to application requirements. The book aims to provide a broader perspective of virtual reality on development and application.

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15. Machine Learning, Neural and Statistical Classification

This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems.

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16. The World and Mind of Computation and Complexity

With the increase in development of technology, there is research going into the development of human-like artificial intelligence that can be self-aware and act just like humans. This book explores the possibilities of artificial intelligence and how we may be close to developing a true artificially intelligent being.

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