Advanced Students' Guide to Expert Systems PDF Download
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Author: Garry Marshall
Publisher: Butterworth-Heinemann
ISBN:
Category : Computers
Languages : en
Pages : 202
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Book Description
Author: Garry Marshall
Publisher: Butterworth-Heinemann
ISBN:
Category : Computers
Languages : en
Pages : 202
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Book Description
Author: John Durkin
Publisher: Macmillan College
ISBN:
Category : Computers
Languages : en
Pages : 1204
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Book Description
Presents a step-by-step methodology for designing expert systems. Each chapter on design methodology starts with a problem and leads the reader through the design of a system which solves that problem.
Author: Donald Arthur Waterman
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computer systems
Languages : en
Pages : 456
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Book Description
A boy & his grandparents live near a cursed wood. the boy longs for a dog - but the ungainly creature found by his grandfatherhardly fits his image of the perfect pet. But then the dog starts to grow human ears!
Author: Louis E. Frenzel
Publisher: Newnes
ISBN: 9780750697095
Category : Technology & Engineering
Languages : en
Pages : 214
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Book Description
Crash Course in Digital Technology teaches the basics of digital electronics theory and circuits in an easy-to-understand format. Each chapter includes learning objectives, clear explanations and examples, and an end-of-chapter self-quiz. The drill-and-review software included with the book allows learners to test themselves on the contents of each chapter, providing a second reinforcement of the material. A final chapter teaches the basics of troubleshooting digital circuits. With the two other Crash Course books, Electronics Technology and Microprocessor Technology, this book forms a complete course in electronics and microcomputer technology appropriate for technical schools, industrial training, and hobbyists. Louis Frenzel is an experienced electronics engineer and educator, as well as the author of many magazine articles and texts. He is currently an instructor at Austin Community College in Austin, Texas. Drill-and-review software included Clear, easy format Self-paced introduction to digital electronics
Author: Peter Jackson
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 552
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Book Description
The most popular basic introduction to Expert Systems is revised and updated to include new information on blackboard systems and has extended coverage of reasoning.
Author: Giuseppe Bonaccorso
Publisher: Packt Publishing Ltd
ISBN: 1789951720
Category : Computers
Languages : en
Pages : 748
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Book Description
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.
Author: Paul Harmon
Publisher: Wiley
ISBN: 9780471839507
Category : Computers
Languages : en
Pages : 289
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Book Description
The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.
Author: Robert G. Cowell
Publisher: Springer Science & Business Media
ISBN: 9780387718231
Category : Computers
Languages : en
Pages : 340
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Book Description
Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.
Author: Kamran Parsaye
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 488
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Book Description
This introduction to the design of expert systems is written in an easy-to-read style and offers practical examples for each new topic presented. Emphasis is less on the intracacies of programming language, more on explanation. Defines what expert systems are, and discusses knowledge representation and inference. Chapters also cover logic, two-valued inference, inexact and semi-exact reasoning, advanced tools and topics, and draw on studies of human cognition to motivate technical definitions. Each chapter has an introduction and a summary, and provides suggestions for further reading. Contains student projects.
Author: Michael Negnevitsky
Publisher: Pearson Education
ISBN: 9780321204660
Category : Computers
Languages : en
Pages : 454
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Book Description
Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.
