Artificial Intelligence Algorithms And Applications

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Machine Learning Algorithms and Applications

Author : Mettu Srinivas
Publisher : John Wiley & Sons
ISBN 13 : 1119769248
Total Pages : 372 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Algorithms and Applications by : Mettu Srinivas

Download or read book Machine Learning Algorithms and Applications written by Mettu Srinivas and published by John Wiley & Sons. This book was released on 2021-08-10 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

Artificial Intelligence: Models, Algorithms and Applications

Author : Terje Solsvik Kristensen
Publisher : Bentham Science Publishers
ISBN 13 : 1681088274
Total Pages : 176 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Artificial Intelligence: Models, Algorithms and Applications by : Terje Solsvik Kristensen

Download or read book Artificial Intelligence: Models, Algorithms and Applications written by Terje Solsvik Kristensen and published by Bentham Science Publishers. This book was released on 2021-05-31 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, instrumentation, business intelligence, education and criminology. The book concludes with a chapter on mathematical models of neural networks. The book serves as an introductory book about AI applications at undergraduate and graduate levels and as a reference for industry professionals working with AI based systems.

Grokking Artificial Intelligence Algorithms

Author : Rishal Hurbans
Publisher : Simon and Schuster
ISBN 13 : 1638355681
Total Pages : 392 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Grokking Artificial Intelligence Algorithms by : Rishal Hurbans

Download or read book Grokking Artificial Intelligence Algorithms written by Rishal Hurbans and published by Simon and Schuster. This book was released on 2020-07-20 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: "From start to finish, the best book to help you learn AI algorithms and recall why and how you use them." - Linda Ristevski, York Region District School Board ”This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.” - David Jacobs, Product Advance Local Key Features Master the core algorithms of deep learning and AI Build an intuitive understanding of AI problems and solutions Written in simple language, with lots of illustrations and hands-on examples Creative coding exercises, including building a maze puzzle game and exploring drone optimization About The Book “Artificial intelligence” requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building good AI applications Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts.You’ll explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills. What You Will Learn Use cases for different AI algorithms Intelligent search for decision making Biologically inspired algorithms Machine learning and neural networks Reinforcement learning to build a better robot This Book Is Written For For software developers with high school–level math skills. About the Author Rishal Hurbans is a technologist, startup and AI group founder, and international speaker. Table of Contents 1 Intuition of artificial intelligence 2 Search fundamentals 3 Intelligent search 4 Evolutionary algorithms 5 Advanced evolutionary approaches 6 Swarm intelligence: Ants 7 Swarm intelligence: Particles 8 Machine learning 9 Artificial neural networks 10 Reinforcement learning with Q-learning

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Author : Kulkarni, Siddhivinayak
Publisher : IGI Global
ISBN 13 : 1466618345
Total Pages : 464 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques by : Kulkarni, Siddhivinayak

Download or read book Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques written by Kulkarni, Siddhivinayak and published by IGI Global. This book was released on 2012-06-30 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Applications of Machine Learning

Author : Prashant Johri
Publisher : Springer Nature
ISBN 13 : 9811533571
Total Pages : 404 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Machine Learning by : Prashant Johri

Download or read book Applications of Machine Learning written by Prashant Johri and published by Springer Nature. This book was released on 2020-05-04 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.

Machine Learning Algorithms for Industrial Applications

Author : Santosh Kumar Das
Publisher : Springer Nature
ISBN 13 : 303050641X
Total Pages : 321 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Machine Learning Algorithms for Industrial Applications by : Santosh Kumar Das

Download or read book Machine Learning Algorithms for Industrial Applications written by Santosh Kumar Das and published by Springer Nature. This book was released on 2020-07-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

Machine Learning

Author :
Publisher : BoD – Books on Demand
ISBN 13 : 183969484X
Total Pages : 153 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Machine Learning by :

Download or read book Machine Learning written by and published by BoD – Books on Demand. This book was released on 2021-12-22 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses–cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real-world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.

The Application of Artificial Intelligence

Author : Zoltán Somogyi
Publisher : Springer Nature
ISBN 13 : 3030600327
Total Pages : 448 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis The Application of Artificial Intelligence by : Zoltán Somogyi

Download or read book The Application of Artificial Intelligence written by Zoltán Somogyi and published by Springer Nature. This book was released on 2021-03-11 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.

Applications of Artificial Intelligence in Process Systems Engineering

Author : Jingzheng Ren
Publisher : Elsevier
ISBN 13 : 012821743X
Total Pages : 542 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren

Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Algorithms Are Not Enough

Author : Herbert L. Roitblat
Publisher : MIT Press
ISBN 13 : 0262044129
Total Pages : 340 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Algorithms Are Not Enough by : Herbert L. Roitblat

Download or read book Algorithms Are Not Enough written by Herbert L. Roitblat and published by MIT Press. This book was released on 2020-10-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.

Artificial Intelligence-Aided Materials Design

Author : Rajesh Jha
Publisher : CRC Press
ISBN 13 : 1000541339
Total Pages : 363 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence-Aided Materials Design by : Rajesh Jha

Download or read book Artificial Intelligence-Aided Materials Design written by Rajesh Jha and published by CRC Press. This book was released on 2022-03-15 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including hard and soft magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the MATLAB® and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers to develop predictive models through AI/ML algorithms by writing their own computer code or using resources where they do not have to write code Covers downloadable resources such as MATLAB GUI/APP and Python implementation that can be used on common mobile devices Discusses the CALPHAD approach and ways to use data generated from it Features a chapter on metallurgical/materials concepts to help readers understand the case studies and thus proper implementation of AI/ML algorithms under the framework of data-driven materials science Uses case studies to examine the importance of using unsupervised machine learning algorithms in determining patterns in datasets This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials.

Machine Learning Algorithms and Applications

Author : Mettu Srinivas
Publisher : John Wiley & Sons
ISBN 13 : 1119768853
Total Pages : 372 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Algorithms and Applications by : Mettu Srinivas

Download or read book Machine Learning Algorithms and Applications written by Mettu Srinivas and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

Intelligent System Algorithms and Applications in Science and Technology

Author : Sunil Pathak
Publisher : CRC Press
ISBN 13 : 1000406873
Total Pages : 408 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent System Algorithms and Applications in Science and Technology by : Sunil Pathak

Download or read book Intelligent System Algorithms and Applications in Science and Technology written by Sunil Pathak and published by CRC Press. This book was released on 2022-02-03 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 21st century has witnessed massive changes around the world in intelligence systems in order to become smarter, energy efficient, reliable, and cheaper. This volume explores the application of intelligent techniques in various fields of engineering and technology. It addresses diverse topics in such areas as machine learning-based intelligent systems for healthcare, applications of artificial intelligence and the Internet of Things, intelligent data analytics techniques, intelligent network systems and applications, and inequalities and process control systems. The authors explore the full breadth of the field, which encompasses data analysis, image processing, speech processing and recognition, medical science and healthcare monitoring, smart irrigation systems, insurance and banking, robotics and process control, and more.

From Natural to Artificial Intelligence

Author : Ricardo López-Ruiz
Publisher :
ISBN 13 : 1789847028
Total Pages : 218 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis From Natural to Artificial Intelligence by : Ricardo López-Ruiz

Download or read book From Natural to Artificial Intelligence written by Ricardo López-Ruiz and published by . This book was released on 2018 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Its Application

Author : Indranath Chatterjee
Publisher :
ISBN 13 : 9781681089423
Total Pages : 356 pages
Book Rating : 4.0/5 (894 download)

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Book Synopsis Machine Learning and Its Application by : Indranath Chatterjee

Download or read book Machine Learning and Its Application written by Indranath Chatterjee and published by . This book was released on 2021-12-22 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Author : Kashyap, Ramgopal
Publisher : IGI Global
ISBN 13 : 1799801845
Total Pages : 293 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Applications for Implementing Machine Learning in Computer Vision by : Kashyap, Ramgopal

Download or read book Challenges and Applications for Implementing Machine Learning in Computer Vision written by Kashyap, Ramgopal and published by IGI Global. This book was released on 2019-10-04 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.

Fundamentals and Methods of Machine and Deep Learning

Author : Pradeep Singh
Publisher : John Wiley & Sons
ISBN 13 : 1119821886
Total Pages : 480 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Fundamentals and Methods of Machine and Deep Learning by : Pradeep Singh

Download or read book Fundamentals and Methods of Machine and Deep Learning written by Pradeep Singh and published by John Wiley & Sons. This book was released on 2022-02-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.