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      • Artificial Intelligence & Soft Computing For Beginners, Third Edition
        Computing & IT
        July 2018

        Artificial Intelligence & Soft Computing For Beginners, Third Edition

        by Anindita Das-Bhattacharjee

        The course of Artificial Intelligence is taken by all engineering undergraduate and postgraduate students pursuing computer science. Apart from this, it is a popular elective in almost all other branches of engineering. It is also a field chosen for research by many doctoral students. This book has in-depth detail illustration of all the chapters of Artificial Intelligence (AI) with Soft Computing, covering the syllabus of WBUT, Gitam, JNTU, NIT and few different universities. During the course of teaching Artificial Intelligence, the author had found that no textbook covers both Artificial intelligence (AI) with intelligent systems (IS) and soft computing in a comprehensive manner. This book provides a comprehensive coverage of the fundamental concepts and techniques in Artificial Intelligence and Soft Computing with mathematical in depth explanation. The main emphasis is on the solution of real world problems using the latest AI techniques. During teaching artificial intelligence, author realized that the basic text books do not have an organized content according to the syllabus. In this book all the chapters are organized properly and contain a complete coverage. The sequence of the chapters has been set in a manner which would be very easy for the students to understand. The main importance of this book is on the solution of many real world problems. Each chapter contains multiple choice questions with answer and possible explanation. Also some important solutions and answers at the end as “Take a look to be more acquainted with”. In addition, modern and current topic in AI for an example Pattern Recognition, Data Clustering Algorithm, Genetic Algorithm with Data Clustering method, Swarm Intelligence, Tabu Search, Ant Colony Optimization are discussed in details. These concepts may motivate students to do projects .This book contains information about programming languages and the proper syntax with example is provided which may help students to practically apply this programming concepts. Mathematical explanation to understand the concept in detail about Single & Multi objective Genetic Algorithm, Neural Network, Fuzzy Logic is provided. The basic coverage of each and every chapter is mentioned before the chapter as “chapter utility”. This book has been designed in such a manner so that it becomes very easy to understand the language and comprehend not only for computer science department student but also for non departmental student as well.

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      • Data Science for Professionals
        Databases
        October 2019

        Data Science for Professionals

        by Prof. N.C. Das

        The book is meant for a wide-spectrum of readership-empirical scientists, consultants, technocrats, advertisers, researchers and students learning Data Science for conducting small replicated or non-replicated experiments / demonstrations. It deals with two-factor three-level designs to be conducted only in six experimental units. For this an exhaustive set of 9c6=9c3 = 84 designs have been generated. Least Square algorithm has been applied for estimating separate effect of each component and their interaction along with fitting of response surface; meeting both the objectives for any factorial experiment. Of them seventy-six could be found as valid or estimable designs and the rest as non-estimable ones. Value of the determinant obtained for Least Square Matrix for each such design has been the indicator of its D-optimality status: the same could also be obtained from geometric structure of the designs. Such exhaustive search ascertains (8+4) D-optimal designs; of them only (1+3) are hitherto known. Also, rotatable feature of any such design does not affect its D-optimality status. A simple method SAME has been devised to meet the said twin objectives, thus escaping matrix formation and related operations. Each such design could be combined to form pair of replicates or blocks of an experiment so as to fetch statistical significance test based on ANOVA and fitting the response surface.

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      • ARTIFICIAL INTELLIGENCE : PRINCIPLES AND APPLICATIONS, SECOND EDITION
        Artificial intelligence

        ARTIFICIAL INTELLIGENCE : PRINCIPLES AND APPLICATIONS, SECOND EDITION

        PRINCIPLES AND APPLICATIONS

        by CHANDRA S.S., VINOD and HAREENDRAN S., ANAND

        Primarily intended for the undergraduate and postgraduate students of computer science and engineering, this textbook (earlier titled as Artificial Intelligence and Machine Learning), now in its second edition, bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence. This book promises to provide the most number of case studies and worked-out examples among the books of its genre. The text is written in a highly interactive manner which fulfils the curiosity of any reader.   Moreover, the content takes off from the introduction to artificial intelligence, which is followed by explaining about intelligent agents. Various problem-solving strategies, knowledge representation schemes are also included with numerous case studies and applications. Different aspects of learning, nature-inspired learning, along with natural language processing are also explained in depth. The algorithms and pseudo codes for each topic make this book useful for students. Book also throws light into areas like planning, expert system and robotics. Book concludes with futuristic artificial intelligence, which explains the fascinating applications, that the world will witness in coming years.   KEY FEATURES Day-to-day examples and practical representations for deeper understanding of the subject.   Learners can easily implement the AI applications.   Effective and useful case studies and worked-out examples for AI problems   Google Preview: https://bit.ly/3BYqloN

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      • MACHINE LEARNING : A PRACTITIONER'S APPROACH
        Artificial intelligence

        MACHINE LEARNING : A PRACTITIONER'S APPROACH

        A PRACTITIONER'S APPROACH

        by CHANDRA S.S., VINOD and HAREENDRAN S., ANAND

        The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the text book with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudo codes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems.   Key Features Day to day examples and pictorial representations for deeper understanding of the subject   Helps readers easily create programs/applications   Research oriented approach   Case studies and worked-out examples for each machine learning algorithm than any other book   Google Preview: https://bit.ly/3n3WYLy

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      • ARTIFICIAL INTELLIGENCE
        Artificial intelligence

        ARTIFICIAL INTELLIGENCE

        BUILDING INTELLIGENT SYSTEMS

        by KULKARNI, PARAG and JOSHI, PRACHI

        There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology.   Key Features Highlights a clear and concise presentation through adequate study material   Follows a systematic approach to explicate fundamentals as well as recent advances in the area   Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work   Incorporates various case studies for major topics as well as numerous industrial examples   Google Preview: https://bit.ly/2XvODYz

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      • Ars intelligendi
        Human-computer interaction
        March 2020

        Ars intelligendi

        An Investigation into Intelligence and Thought from Hofstadter's Perspective

        by Fabio Leuzzi

        What features would intelligence have if we examined it without any prejudice due to human limits? Considering the peculiarities of man's intellect, in fact, makes us wonder whether it is just one of the possible expressions of intelligence. So far research studies have considered artificial intelligence like a tool for understanding human intelligence, whereas the author reflects on the possibility to analyse the main characteristics of intelligence in its purest expression, without those traits so human that seem to trap it in one of its possible manifestations. A non-human intelligence would be capable of very different thought patterns, offering new perspectives that otherwise would be precluded.

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      • Cognitive Approach to Conscious Machines
        Cognition & cognitive psychology
        March 2003

        Cognitive Approach to Conscious Machines

        by Haikonen, Pentti O., A01

        Could a machine have an immaterial mind? The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favour of the emulation of the cognitive processes of the brain—the flow of...

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