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This book demystifies the techniques associated with the field of artificial intelligence and covers a wide variety of techniques currently defined as "AI." Many books on artificial intelligence provide tutorials for AI methods, but the applications are restricted to toy problems that have little relevance in the real world. AI Application Programming covers theory, but teaches developers how these techniques can be applied in their own designs. The book is split by AI subfields (statistical methods, symbolic methods, etc.) to further refine the methods and applications for the reader. Each chapter provides a detailed discussion of the source code used.
This book demystifies the techniques associated with the field of artificial intelligence and covers a wide variety of techniques currently defined as "AI." Many books on artificial intelligence provide tutorials for AI methods, but the applications are restricted to toy problems that have little relevance in the real world. AI Application Programming covers theory, but teaches developers how these techniques can be applied in their own designs. The book is split by AI subfields (statistical methods, symbolic methods, etc.) to further refine the methods and applications for the reader. Each chapter provides a detailed discussion of the source code used.
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