Artificial Intelligence In Intelligent Systems

Artificial Intelligence

Building Intelligent Systems

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems

Artificial Intelligence and Intelligent Systems

Artificial Intelligence and Intelligent Systems provides a comprehensive coverage of the fundamental concepts and techniques in artificial intelligence. The book discusses current trends in AI and its application to various fields. Intelligent systems such as expert systems, fuzzy systems, artificial neural networks, genetic algorithms, and swarm intelligent systems are discussed in detail with examples to facilitate in-depth understanding of AI. The text emphasizes the solution of real-world problems using the latest AI techniques. Since the ultimate goal of AI is the construction of programs to solve problems, an entire chapter has been devoted to the programming languages used in AI problem solving. Written in a clear and lucid style, this student-friendly book has been specially designed for undergraduate engineering students. With its application oriented approach and inclusion of recent topics, the book would also be useful to postgraduate students and researchers in th is field. Features BL Includes real-world examples to illustrate concepts BL Contains a separate chapter on programming languages in AI BL Includes new topics such as swarn intelligent systems BL Explains genetic algorithms and swarn intelligence using examples BL Provides numerous illustrations, examples, and end-chapter exercises