Advanced Artificial Intelligence Second Edition
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Advanced Artificial Intelligence Second Edition
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2019-08-05
Advanced Artificial Intelligence Second Edition written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-05 with Computers categories.
The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.
Advanced Artificial Intelligence
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2011
Advanced Artificial Intelligence written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
'Advanced Artificial Intelligence' consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarises the author's scientific efforts over many years.
Artificial Intelligence By Example Second Edition
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Author : Denis Rothman
language : en
Publisher:
Release Date : 2020-02-28
Artificial Intelligence By Example Second Edition written by Denis Rothman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.
Advanced Artificial Intelligence Third Edition
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2024-11-04
Advanced Artificial Intelligence Third Edition written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Computers categories.
This third edition comprehensively captures the cutting-edge research achievements of AI. Topics are thoroughly revised and updated, presenting the latest techniques and strategies to address the impending challenges facing computer scientists today.The useful reference text benefits professionals, academics, researchers, senior and graduate students in the information field and related tertiary specialties.
Advanced Artificial Intelligence And Robotics
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Author : Prof. V.S. Manjula
language : en
Publisher: Orange book publication
Release Date : 2025-04-08
Advanced Artificial Intelligence And Robotics written by Prof. V.S. Manjula and has been published by Orange book publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
The book is divided into six chapters. The behavioral perspective of "human cognition" is covered first, followed by a detailed discussion of the instruments and methods needed to make it intelligently possible for machines. Enough information has been addressed in the traditional chapters on search, symbolic logic, planning, and machine learning, including the most recent studies on the topics. The contemporary facets of soft computing have been presented from the very beginning and covered in a way that is somewhat informal, making it easy for a novice to understand. Non-monotonic and spatiotemporal reasoning, knowledge acquisition, verification, Non-monotonic and spatiotemporal thinking, knowledge acquisition, verification, validation, and maintenance challenges, the realization of cognition on machines, and the design of AI machines are among the topics of AI research that are discussed in the book. The two case studies that conclude the book—one on "criminal investigation of expert systems" and the other on "navigational planning of robots"—focus mostly on the implementation of intelligent systems through the use of the techniques discussed in the book.
Introduction To Artificial Intelligence Second Edition
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Author : AKERKAR, RAJENDRA
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2014-07-18
Introduction To Artificial Intelligence Second Edition written by AKERKAR, RAJENDRA and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-18 with Computers categories.
This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and intelligent systems and guides them towards a better understanding of the subject. The text begins with a brief introduction to artificial intelligence, including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, representation and reasoning. The text also lucidly explains AI technologies such as computer vision, natural language processing, pattern recognition and speech recognition. Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book. In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI tools have been introduced. The treatment throughout the book is primarily tailored to the curriculum needs of B.E./B.Tech. students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. students in Computer Science, and MCA students. The book is also useful for computer professionals interested in exploring the field of artificial intelligence. Key Features • Exposes the readers to real-world applications of AI. • Concepts are duly supported by examples and cases. • Provides appendices on PROLOG, LISP and AI Tools. • Incorporates most recommendations of the Curriculum Committee on Computer Science/Engineering for AI and Intelligent Systems. • Exercises provided will help readers apply what they have learned.
Python Advanced Guide To Artificial Intelligence
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Author : Giuseppe Bonaccorso
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-21
Python Advanced Guide To Artificial Intelligence written by Giuseppe Bonaccorso and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-21 with Computers categories.
Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
Advanced Topics In Artificial Intelligence
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Author : Rolf T. Nossum
language : en
Publisher: Springer Science & Business Media
Release Date : 1988-12-28
Advanced Topics In Artificial Intelligence written by Rolf T. Nossum and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-12-28 with Computers categories.
Organized by: European Coordinating Committee for AI (ECCAI)
Artificial Intelligence By Example
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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-02-28
Artificial Intelligence By Example written by Denis Rothman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.
Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.
Princeton Review Digital Sat Advanced 2nd Edition
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Author : The Princeton Review
language : en
Publisher: Princeton Review
Release Date : 2024-08-13
Princeton Review Digital Sat Advanced 2nd Edition written by The Princeton Review and has been published by Princeton Review this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Study Aids categories.
Go beyond the basics for serious Digital SAT preparation. Designed specifically for advanced students who already feel confident on the SAT but want to push themselves toward that perfect SAT score, this book will help you: Conquer SAT content with 400+ of the toughest practice problems (both in the book and in our online companion tool) Master effective strategies to beat the digital test and hit your top score Learn specialized tactics to avoid the trick questions that trap most students Join the ranks of high-scorers with a strategic exam approach Train yourself to use alternative approaches that enable you to tackle the hardest questions with confidence Feel confident in your grasp of subject matter with intensive section reviews for each SAT section With detailed answers and explanations for each question, SAT Advanced, 2nd Edition will help you take your score into the big leagues. It gives you exclusive tips & strategies for tackling the hardest questions on the SAT, pacing guidelines to push yourself to a top score, and tons of challenging practice material to help get you into peak test-taking shape.