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Author : Tim Hartnell
Publisher :
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.3/5 (91 download)
Download or read book Exploring Artificial Intelligence on Your IBM PC written by Tim Hartnell and published by . This book was released on 1986 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Richard Forsyth
Publisher : Methuen Publishing
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.3/5 (91 download)
Download or read book The Hitch-hiker's Guide to Artificial Intelligence written by Richard Forsyth and published by Methuen Publishing. This book was released on 1986 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Arindam Ganguly
Publisher : BPB Publications
ISBN 13 : 9390684706
Total Pages : 222 pages
Book Rating : 4.3/5 (96 download)
Download or read book IBM Watson Solutions for Machine Learning written by Arindam Ganguly and published by BPB Publications. This book was released on 2021-06-19 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilize Python and IBM Watson to put real-life use cases into production. KEY FEATURES ● Use of popular Python packages for building Machine Learning solutions from scratch. ● Practice various IBM Watson Machine Learning tools for Computer Vision and Natural Language Processing applications. ● Expert-led best practices to put your Machine Learning solutions into the production environment. DESCRIPTION This book will take you through the journey of some amazing tools IBM Watson has to offer to leverage your machine learning concepts to solve some real-life use cases that are pertinent to the current industry. This book explores the various Machine Learning fundamental concepts and how to use the Python programming language to deal with real-world use cases. It explains how to take your code and deploy it into IBM Cloud leveraging IBM Watson Machine Learning. While doing so, the book also introduces you to several amazing IBM Watson tools such as Watson Assistant, Watson Discovery, and Watson Visual Recognition to ease out various machine learning tasks such as building a chatbot, creating a natural language processing pipeline, or an optical object detection application without a single line of code. It covers Watson Auto AI with which you can apply various machine learning algorithms and pick out the best for your dataset without a single line of code. Finally, you will be able to deploy all of these into IBM Cloud and configure your application to maintain the production-level runtime. After reading this book, you will find yourself confident to administer any machine learning use case and deploy it into production without any hassle. You will be able to take up a complete end-to-end machine learning project with complete responsibility and deliver the best standards the current industry has to offer. Towards the end of this book, you will be able to build an end-to-end production-level application and deploy it into Cloud. WHAT YOU WILL LEARN ● Review the basics of Machine Learning and learn implementation using Python. ● Learn deployment using IBM Watson Studio and Watson Machine Learning. ● Learn how to use Watson Auto AI to automate hyperparameter tuning. ● Learn Watson Assistant, Watson Visual Recognition, and Watson Discovery. ● Learn how to implement the various layers of an end-to-end AI application. ● Learn all the configurations needed for production deployment to Cloud. WHO THIS BOOK IS FOR This book is for all data professionals, ML enthusiasts, and software developers who are looking for real solutions to be developed. The reader is expected to have a prior knowledge of the web application architecture and basic Python fundamentals. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Deep Learning 3. Features and Metrics 4. Build Your Own Chatbot 5. First Complete Machine Learning Project 6. Perfecting Our Model 7. Visual Recognition 8. Watson Discovery 9. Deployment and Others 10. Deploying the Food Ordering Bot
Author : John J. Morone
Publisher : Tab Books Software
ISBN 13 : 9780830628308
Total Pages : 179 pages
Book Rating : 4.6/5 (283 download)
Download or read book Experiencing Artificial Intelligence written by John J. Morone and published by Tab Books Software. This book was released on 1987 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Marlene A. Palmer
Publisher : IGI Global
ISBN 13 : 9781878289032
Total Pages : 170 pages
Book Rating : 4.2/5 (89 download)
Download or read book Expert Systems and Related Topics written by Marlene A. Palmer and published by IGI Global. This book was released on 1990-01-01 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference to all areas of expert systems and applications, plus advanced related topics, lets you spend your time reading expert systems literature rather than searching for it. It gives you a source of historical perspectives and outlooks on the future of the field. Whether you are a manager, a developer or an end user or researcher, Expert Systems and Related Topics: Selected Bibliography & Guide to Information Sources puts all the sources of expert systems literature at your fingertips.
Author : Howard E. Shrobe
Publisher : Morgan Kaufmann
ISBN 13 : 1483214451
Total Pages : 720 pages
Book Rating : 4.4/5 (832 download)
Download or read book Exploring Artificial Intelligence written by Howard E. Shrobe and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Artificial Intelligence: Survey Talks from the National Conference on Artificial Intelligence provides information pertinent to the distinct subareas of artificial intelligence research. This book discusses developments in machine learning techniques. Organized into six parts encompassing 16 chapters, this book begins with an overview of intelligent tutoring systems, which describes how to guide a student to learn new concepts. This text then links closely with one of the concerns of intelligent tutoring systems, namely how to interact through the utilization of natural language. Other chapters consider the various aspects of natural language understanding and survey the huge body of work that tries to characterize heuristic search programs. This book discusses as well how computer programs can create plans to satisfy goals. The final chapter deals with computational facilities that support. This book is a valuable resource for cognitive scientists, psychologists, domain experts, computer scientists, instructional designers, expert teachers, and research workers.
Author : Larry R. Harris (Ph. D.)
Publisher :
ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.3/5 (91 download)
Download or read book Artificial Intelligence Enters the Marketplace written by Larry R. Harris (Ph. D.) and published by . This book was released on 1986 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: By illustrating what it can and cannot do, this book puts Artificial Intelligence in perspecitve. It describes the challenges AI can solve and concentrates on the two hottest AI areas currently under commercial development: natural language processing systems and expert systems.
Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 77 pages
Book Rating : 4./5 ( download)
Download or read book Advanced IBM Watson Techniques written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-06-13 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the Power of AI with Watson: Your Comprehensive Guide to Building Intelligent Solutions This book is your one-stop shop for mastering Watson services and integrating AI into your projects. Dive deep into advanced techniques for natural language processing, chatbot design, information retrieval, and machine learning. Discover how Watson empowers you to: Advanced IBM Watson Techniques Unlock data insights: Extract valuable knowledge from text data with Watson NLU and gain insights with Watson Discovery. Build cognitive applications: Craft intelligent solutions that automate tasks, utilize natural language interfaces, and leverage machine learning for data-driven decisions. Streamline enterprise automation: Automate repetitive tasks and workflows, improving efficiency and freeing up human resources for higher-value activities. Develop responsible AI: Ensure the ethical and trustworthy use of AI with a focus on security, bias mitigation, and responsible governance practices. Explore the future of AI with Watson and transform your business!
Author : Gerhard Lakemeyer
Publisher : Morgan Kaufmann
ISBN 13 : 9781558608115
Total Pages : 424 pages
Book Rating : 4.6/5 (81 download)
Download or read book Exploring Artificial Intelligence in the New Millennium written by Gerhard Lakemeyer and published by Morgan Kaufmann. This book was released on 2003 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide is a unique presentation of the spectrum of ongoing research in Artificial Intelligence. An ideal collection for personal reference or for use in introductory courses in AI and its subfields, "Exploring Artificial Intelligence in the New Millennium" is essential reading for anyone interested in the intellectual and technological challenges of AI.
Author : Dr. Alfio Gliozzo
Publisher : IBM Redbooks
ISBN 13 : 073844264X
Total Pages : 130 pages
Book Rating : 4.7/5 (384 download)
Download or read book Building Cognitive Applications with IBM Watson Services: Volume 1 Getting Started written by Dr. Alfio Gliozzo and published by IBM Redbooks. This book was released on 2017-06-23 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM® WatsonTM cognitive computing services. The series includes an overview of specific IBM Watson® services with their associated architectures and simple code examples. Each volume describes how you can use and implement these services in your applications through practical use cases. The series includes the following volumes: Volume 1 Getting Started, SG24-8387 Volume 2 Conversation, SG24-8394 Volume 3 Visual Recognition, SG24-8393 Volume 4 Natural Language Classifier, SG24-8391 Volume 5 Language Translator, SG24-8392 Volume 6 Speech to Text and Text to Speech, SG24-8388 Volume 7 Natural Language Understanding, SG24-8398 Whether you are a beginner or an experienced developer, this collection provides the information you need to start your research on Watson services. If your goal is to become more familiar with Watson in relation to your current environment, or if you are evaluating cognitive computing, this collection can serve as a powerful learning tool. This IBM Redbooks® publication, Volume 1, introduces cognitive computing, its motivating factors, history, and basic concepts. This volume describes the industry landscape for cognitive computing and introduces Watson, the cognitive computing offering from IBM. It also describes the nature of the question-answering (QA) challenge that is represented by the Jeopardy! quiz game and it provides a high-level overview of the QA system architecture (DeepQA), developed for Watson to play the game. This volume charts the evolution of the Watson Developer Cloud, from the initial DeepQA implementation. This book also introduces the concept of domain adaptation and the processes that must be followed to adapt the various Watson services to specific domains.
Author : James D. Miller
Publisher : Packt Publishing Ltd
ISBN 13 : 178934669X
Total Pages : 332 pages
Book Rating : 4.7/5 (893 download)
Download or read book IBM Watson Projects written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2018-09-29 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporate intelligence to your data-driven business insights and high accuracy business solutions Key FeaturesExplore IBM Watson capabilities such as Natural Language Processing (NLP) and machine learningBuild projects to adopt IBM Watson across retail, banking, and healthcareLearn forecasting, anomaly detection, and pattern recognition with ML techniquesBook Description IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience. What you will learnBuild a smart dialog system with cognitive assistance solutionsDesign a text categorization model and perform sentiment analysis on social media datasetsDevelop a pattern recognition application and identify data irregularities smartlyAnalyze trip logs from a driving services company to determine profitProvide insights into an organization's supply chain data and processesCreate personalized recommendations for retail chains and outletsTest forecasting effectiveness for better sales prediction strategiesWho this book is for This book is for data scientists, AI engineers, NLP engineers, machine learning engineers, and data analysts who wish to build next-generation analytics applications. Basic familiarity with cognitive computing and sound knowledge of any programming language is all you need to understand the projects covered in this book.
Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.6/5 (749 download)
Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.
Author : Tim Hartnell
Publisher :
ISBN 13 : 9780947695002
Total Pages : 357 pages
Book Rating : 4.6/5 (95 download)
Download or read book Exploring Artificial Intelligence on Your Microcomputer written by Tim Hartnell and published by . This book was released on 1984 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 1256 pages
Book Rating : 4.F/5 ( download)
Download or read book Paperbound Books in Print written by and published by . This book was released on 1992 with total page 1256 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 2122 pages
Book Rating : 4.F/5 ( download)
Download or read book The Cumulative Book Index written by and published by . This book was released on 1989 with total page 2122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David D. Busch
Publisher : Random House Puzzles & Games
ISBN 13 :
Total Pages : 290 pages
Book Rating : 4.0/5 ( download)
Download or read book The Commodore 128 Subroutine Library written by David D. Busch and published by Random House Puzzles & Games. This book was released on 1986 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Makenzie Manna
Publisher : IBM Redbooks
ISBN 13 : 0738460923
Total Pages : 128 pages
Book Rating : 4.7/5 (384 download)
Download or read book Optimized Inferencing and Integration with AI on IBM zSystems: Introduction, Methodology, and Use Cases written by Makenzie Manna and published by IBM Redbooks. This book was released on 2022-11-30 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's fast-paced, ever-growing digital world, you face various new and complex business problems. To help resolve these problems, enterprises are embedding artificial intelligence (AI) into their mission-critical business processes and applications to help improve operations, optimize performance, personalize the user experience, and differentiate themselves from the competition. Furthermore, the use of AI on the IBM® zSystems platform, where your mission-critical transactions, data, and applications are installed, is a key aspect of modernizing business-critical applications while maintaining strict service-level agreements (SLAs) and security requirements. This colocation of data and AI empowers your enterprise to optimally and easily deploy and infuse AI capabilities into your enterprise workloads with the most recent and relevant data available in real time, which enables a more transparent, accurate, and dependable AI experience. This IBM Redpaper publication introduces and explains AI technologies and hardware optimizations, and demonstrates how to leverage certain capabilities and components to enable AI solutions in business-critical use cases, such as fraud detection and credit risk scoring, on the platform. Real-time inferencing with AI models, a capability that is critical to certain industries and use cases, now can be implemented with optimized performance thanks to innovations like IBM zSystems Integrated Accelerator for AI embedded in the Telum chip within IBM z16TM. This publication describes and demonstrates the implementation and integration of the two end-to-end solutions (fraud detection and credit risk), from developing and training the AI models to deploying the models in an IBM z/OS® V2R5 environment on IBM z16 hardware, and integrating AI functions into an application, for example an IBM z/OS Customer Information Control System (IBM CICS®) application. We describe performance optimization recommendations and considerations when leveraging AI technology on the IBM zSystems platform, including optimizations for micro-batching in IBM Watson® Machine Learning for z/OS. The benefits that are derived from the solutions also are described in detail, including how the open-source AI framework portability of the IBM zSystems platform enables model development and training to be done anywhere, including on IBM zSystems, and enables easy integration to deploy on IBM zSystems for optimal inferencing. Thus, allowing enterprises to uncover insights at the transaction-level while taking advantage of the speed, depth, and securability of the platform. This publication is intended for technical specialists, site reliability engineers, architects, system programmers, and systems engineers. Technologies that are covered include TensorFlow Serving, WMLz, IBM Cloud Pak® for Data (CP4D), IBM z/OS Container Extensions (zCX), IBM CICS, Open Neural Network Exchange (ONNX), and IBM Deep Learning Compiler (zDLC).
