Cognitive Computing with IBM Watson

Cognitive computing is applicable to almost every industry, where humans engage in dialogue, ask questions, test ideas and make decisions.

Author: Rob High

Publisher: Packt Publishing Ltd

ISBN: 9781788478984

Category: Computers

Page: 256

View: 387

DOWNLOAD →

Understand, design, and create cognitive applications using Watson’s suite of APIs. Key Features Develop your skills and work with IBM Watson APIs to build efficient and powerful cognitive apps Learn how to build smart apps to carry out different sets of activities using real-world use cases Get well versed with the best practices of IBM Watson and implement them in your daily work Book Description Cognitive computing is rapidly infusing every aspect of our lives riding on three important fields: data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system grows. This book introduces readers to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI through the set of APIs provided by IBM Watson. This book will help you build your own applications to understand, plan, and solve problems, and analyze them as per your needs. You will learn about various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems, using different IBM Watson APIs. From this, the reader will learn what ML is, and what goes on in the background to make computers "do their magic," as well as where these concepts have been applied. Having achieved this, the readers will then be able to embark on their journey of learning, researching, and applying the concept in their respective fields. What you will learn Get well versed with the APIs provided by IBM Watson on IBM Cloud Learn ML, AI, cognitive computing, and neural network principles Implement smart applications in fields such as healthcare, entertainment, security, and more Understand unstructured content using cognitive metadata with the help of Natural Language Understanding Use Watson’s APIs to create real-life applications to realize their capabilities Delve into various domains of cognitive computing, such as media analytics, embedded deep learning, computer vision, and more Who this book is for This book is for beginners and novices; having some knowledge about artificial intelligence and deep learning is an advantage, but not a prerequisite to benefit from this book. We explain the concept of deep learning and artificial intelligence through the set of tools IBM Watson provides.

Smart Machines

In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of "cognitive systems" to general audiences and provide a ...

Author: John E. Kelly III

Publisher: Columbia University Press

ISBN: 9780231537278

Category: Computers

Page: 160

View: 757

DOWNLOAD →

We are crossing a new frontier in the evolution of computing and entering the era of cognitive systems. The victory of IBM's Watson on the television quiz show Jeopardy! revealed how scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology to create machines that sense, learn, reason, and interact with people in new ways to provide insight and advice. In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of "cognitive systems" to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm's comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of "big data," one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.

Introduction to Cognitive Computing with IBM Watson Services

Data scientist and entrepreneur, Matt Coatney, provides a hype free overview of IBM Watson in this course covering Watson's technology and key machine learning capabilities.

Author: Matt Coatney

Publisher:

ISBN: OCLC:1137156271

Category:

Page:

View: 165

DOWNLOAD →

"Data scientist and entrepreneur, Matt Coatney, provides a hype free overview of IBM Watson in this course covering Watson's technology and key machine learning capabilities. You'll learn how to access Watson's key services, how to converse with Watson, and how to extract structure and meaning from content using Watson's natural language processing (NLP) functions. Coatney offers real life use cases and code samples to provide business executives and software developers with the tools they need to bring cognitive computing into their applications. As a result of this course, strategic decision makers and technologists will know how to integrate IBM Watson into their own particular industries and businesses."--Resource description page.

Applications of Cognitive Computing Systems and IBM Watson

This book presents reports and methods that demonstrate the ease with which cognitive applications can be built using IBM Watson application program interfaces (APIs).

Author: Danish Contractor

Publisher: Springer

ISBN: 9789811064180

Category: Computers

Page: 98

View: 964

DOWNLOAD →

This book presents reports and methods that demonstrate the ease with which cognitive applications can be built using IBM Watson application program interfaces (APIs). It includes application reports from two IBM Watson API-based competitions – Hackathon (24 hours) and a Challenge task (~3 months). It also features a selection of papers presented at I-CARE 2016, the IBM Collaborative Academia Research Exchange event, from the areas of “Theory and Cognitive Computing”, “Data Platforms and Systems,” and “Societal Applications.” IBM has a long tradition of research collaboration with colleagues in academia, and I-CARE is an annual event initiated in 2009 to promote collaborative innovation and learning, and explore new ways of fostering a culture of innovation. I-CARE’s main goal is to “amalgamate” the thought leadership in Indian academia with that in industry, and foster a symbiotic environment for establishing a rich research culture in India. The 8th edition of I-CARE presents a collection of thought-provoking ideas and novel Indian research projects related to three crucial areas: cognitive computing, systems and platforms that support large-scale data processing and practical systems that are designed for the public good.

Building Cognitive Applications with IBM Watson Services Volume 1 Getting Started

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: Dr. Alfio Gliozzo

Publisher: IBM Redbooks

ISBN: 9780738442648

Category: Computers

Page: 132

View: 142

DOWNLOAD →

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.

Building Cognitive Applications with IBM Watson Services Volume 7 Natural Language Understanding

This book includes a basic description of several of the Natural Language Understanding service features and provides sample code snippets to demonstrate their use.

Author: Sebastian Vergara

Publisher: IBM Redbooks

ISBN: 9780738442624

Category: Computers

Page: 110

View: 731

DOWNLOAD →

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 7, introduces the Watson Natural Language Understanding service. This service is a collection of text analysis functions that derive semantic information from your content. This book includes a basic description of several of the Natural Language Understanding service features and provides sample code snippets to demonstrate their use. This book includes an example of an application that integrates the Watson Natural Language Understanding service with the Watson Personality Insights and Insights for Twitter services to create a simple application to analyze Tweets from a Twitter handle. You can develop and deploy the sample applications by following along in a step-by-step approach and using provided code snippets. Alternatively, you can download an existing Git project to more quickly deploy the application.

Building Cognitive Applications with IBM Watson Services Volume 3 Visual Recognition

This book introduces concepts that you need to understand in order to use this Watson service and provides simple code examples to illustrate the use of the APIs.

Author: Dr. Azeddine Elhassouny

Publisher: IBM Redbooks

ISBN: 9780738442570

Category: Computers

Page: 144

View: 671

DOWNLOAD →

The Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM® Watson cognitive computing services. The series includes an overview of specific 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 3, introduces the IBM Watson® Visual Recognition service. The Watson Visual Recognition service uses deep learning algorithms to analyze images for scenes, objects, faces, and other content. This book introduces concepts that you need to understand in order to use this Watson service and provides simple code examples to illustrate the use of the APIs. This book includes examples of applications that demonstrate how to use the Watson Visual Recognition service in practical use cases. You can develop and deploy the sample applications by following along in a step-by-step approach and using provided code snippets. Alternatively, you can download an existing Git project to more quickly deploy the application.

Building Cognitive Applications with IBM Watson Services Volume 2 Conversation

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 ...

Author: Ahmed Azraq

Publisher: IBM Redbooks

ISBN: 9780738442563

Category: Computers

Page: 248

View: 901

DOWNLOAD →

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 2, describes how the Watson Conversation service can be used to create chatbots and user agents that understand natural-language input and communicate with your users simulating a real human conversation. It introduces the concepts that you need to understand in order to use the Watson Conversation service. It provides examples of applications that integrate the Watson Conversation service with other IBM Bluemix® services, such as the IBM IoT Platform, Text to Speech, Speech to Text, and Weather Company® Data, to implement practical use cases. You can develop and deploy the sample applications by following along in a step-by-step approach and using provided code snippets. Alternatively, you can download an existing Git project to more quickly deploy the application.

Building Cognitive Applications with IBM Watson Services Volume 6 Speech to Text and Text to Speech

This book introduces concepts that you need to understand to use these Watson services and provides simple code examples to illustrate the use of the APIs.

Author: Felipe Santiago

Publisher: IBM Redbooks

ISBN: 9780738442600

Category: Computers

Page: 74

View: 549

DOWNLOAD →

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 6, introduces the Watson Text to Speech (converts written text into natural sounding audio in various languages and voices) and Watson Speech to Text (converts audio voice into written text) services. This book introduces concepts that you need to understand to use these Watson services and provides simple code examples to illustrate the use of the APIs. This book includes examples of applications that demonstrate how to use the Watson Text to Speech and Speech to Text services in practical use cases. You can develop and deploy the sample applications by following along in a step-by-step approach and using provided code snippets. Alternatively, you can download an existing Git project to more quickly deploy the application.

Cognitive Computing Featuring the IBM Power System AC922

This IBM® Redpaper publication describes the advantages of using IBM Power System AC922 for cognitive solutions, and how it can enhance clients' businesses.

Author: Scott Vetter

Publisher: IBM Redbooks

ISBN: 9780738458113

Category: Computers

Page: 55

View: 753

DOWNLOAD →

This IBM® Redpaper publication describes the advantages of using IBM Power System AC922 for cognitive solutions, and how it can enhance clients' businesses. In order to optimize the hardware and software, IBM partners with NVIDIA, Mellanox, H2O.ai, SQream, Kinetica, and other prominent companies to design the Power AC922 server, specifically enhanced for the cognitive era. Most of its outstanding hardware features, such as NVIDIA NVLink 2.0 and PCIe 4.0, are described in this publication to illustrate the advantages that clients can realize in comparison with IBM competitors. We also include a brief description about what cognitive computing is, and how to use IBM Watson® Machine Learning cognitive solutions to bring more value to your business ecosystem. Additionally, we show performance charts that show the advantages of using Power AC922 versus x86 competitors. In the last chapter, we describe the most remarkable use cases in which IBM solves real problems using cognitive solutions. This IBM Redpaper publication is aimed at IT technical audiences, especially decision-making levels that need a full look at the benefits and improvements that an IBM Cognitive Solution can offer. It also provides valuable information to data science professionals, enabling them to plan their modeling needs. Finally, it offers information to the infrastructure support group in charge of maintaining the solution.

Cognitive Computing and Big Data Analytics

This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather ...

Author: Judith Hurwitz

Publisher: John Wiley & Sons

ISBN: 1118896629

Category: Computers

Page: 288

View: 571

DOWNLOAD →

A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing′s underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step–by–step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan–Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real–world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today′s cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context–aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward–thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human–machine interaction.

Cognitive Computing and Big Data Analytics

This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather ...

Author: Judith S. Hurwitz

Publisher: John Wiley & Sons

ISBN: 9781118896631

Category: Computers

Page: 288

View: 108

DOWNLOAD →

A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Applications of Cognitive Computing Systems and IBM Watson

This book presents reports and methods that demonstrate the ease with which cognitive applications can be built using IBM Watson application program interfaces (APIs).

Author:

Publisher:

ISBN: 9811064199

Category: Artificial intelligence

Page: 96

View: 248

DOWNLOAD →

This book presents reports and methods that demonstrate the ease with which cognitive applications can be built using IBM Watson application program interfaces (APIs). It includes application reports from two IBM Watson API-based competitions - Hackathon (24 hours) and a Challenge task (̃3 months). It also features a selection of papers presented at I-CARE 2016, the IBM Collaborative Academia Research Exchange event, from the areas of "Theory and Cognitive Computing", "Data Platforms and Systems," and "Societal Applications." IBM has a long tradition of research collaboration with colleagues in academia, and I-CARE is an annual event initiated in 2009 to promote collaborative innovation and learning, and explore new ways of fostering a culture of innovation. I-CARE's main goal is to "amalgamate" the thought leadership in Indian academia with that in industry, and foster a symbiotic environment for establishing a rich research culture in India. The 8th edition of I-CARE presents a collection of thought-provoking ideas and novel Indian research projects related to three crucial areas: cognitive computing, systems and platforms that support large-scale data processing and practical systems that are designed for the public good.

Building Cognitive Applications with IBM Watson Services Volume 5 Language Translator

This book also covers a mechanism provided by the Watson Language Translator service to train the service to perform domain-specific translations by customizing the existing linguistic models.

Author: Valerie Lampkin

Publisher: IBM Redbooks

ISBN: 9780738442587

Category: Computers

Page: 64

View: 692

DOWNLOAD →

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 5, describes how the Watson Language Translator service can be used to translate text from one language to another. It introduces the concepts that you need in order to understand how to use the Watson Language Translator service. It provides an example of an application that integrates the Watson Language Translator service. You can develop and deploy the sample application by following along in a step-by-step approach and using provided code snippets. Alternatively, you can download an existing Git project to more quickly deploy the application. This book also covers a mechanism provided by the Watson Language Translator service to train the service to perform domain-specific translations by customizing the existing linguistic models.

IBM Watson Projects

IBM Watson Projects demonstrate projects focused on cognitive computing & analytical capabilities of IBM Watson.

Author: James D. Miller

Publisher: Packt Publishing Ltd

ISBN: 9781789346695

Category: Computers

Page: 340

View: 546

DOWNLOAD →

IBM Watson Projects demonstrate projects focused on cognitive computing & analytical capabilities of IBM Watson. You will explore designing smart business solutions and understand the effectiveness of a supply chain using projects including healthcare dialog system, sentimental analysis on social media, personalized recommendation systems and more.

Building Cognitive Applications with IBM Watson Services

This book describes how to prepare training data, and create and train the classifier to connect the classes to example texts so the service can apply the classes to new inputs.

Author: Marcelo Manhaes

Publisher:

ISBN: OCLC:1137376226

Category:

Page: 142

View: 708

DOWNLOAD →

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 4, introduces the Watson Natural Language Classifier service. This service applies cognitive computing techniques to return best matching predefined classes for short text inputs such as a sentence or phrase. The book describes concepts that you need to understand to create, use and train the classifier. This book describes how to prepare training data, and create and train the classifier to connect the classes to example texts so the service can apply the classes to new inputs. It provides examples of applications that demonstrate how to use the Watson Natural Language Classifier service in practical use cases. You can develop and deploy the sample applications by following along in a step-by-step approach and using provided code snippets. Alternatively, you can download an existing Git project to more quickly deploy the application.

Cognitive Cooking with Chef Watson

Inspiring innovation & culinary exploration. Outside the box. Creative. Whether in the fields of medicine, engineering or cooking, the ability to break the mold and imagine new concepts has long been considered a purely human ability.

Author: IBM

Publisher: Sourcebooks

ISBN: 149262571X

Category: Cooking

Page: 224

View: 986

DOWNLOAD →

Take Your Cooking to a Whole New Level with Chef Watson and the Institute of Culinary Education! You don't have to be a culinary genius to be a great cook. But when it comes to thinking outside the box, even the best chefs can be limited by their personal experiences, the tastes and flavor combinations they already know. That's why IBM and the Institute of Culinary Education teamed up to develop a groundbreaking cognitive cooking technology that helps cooks everywhere discover and create delicious recipes, utilizing unusual ingredient combinations that man alone might never imagine. In Cognitive Cooking with Chef Watson, IBM's unprecedented technology and ICE's culinary experts present more than 65 original recipes exploding with irresistible new flavors. Together, they have carefully crafted, evaluated and perfected each of these dishes for "pleasantness" (superb taste), "surprise" (innovativeness) and a "synergy" of mouthwatering ingredients that will delight any food lover. Sprinkled throughout the book are cooking tips from the pros at ICE, entertaining anecdotes on the various stages of IBM and ICE's collaboration and ideas for home cooks to expand their repertoires or spice up current favorites. From Chef Watson's first recipe ever, the Spanish Almond Crescent, to Creole Shrimp-Lamb Dumplings, Italian-Pumpkin Cheesecake, and Hoof-and-Honey Ale, Cognitive Cooking with Chef Watson introduces home cooks and professional chefs to a whole new world of culinary possibilities.

Cognitive Computing Featuring the IBM Power System AC922

This IBM® Redpaper publication describes the advantages of using IBM Power System AC922 for cognitive solutions, and how it can enhance clients' businesses.

Author: Scott Vetter

Publisher:

ISBN: OCLC:1137098204

Category:

Page: 55

View: 665

DOWNLOAD →

This IBM® Redpaper publication describes the advantages of using IBM Power System AC922 for cognitive solutions, and how it can enhance clients' businesses. In order to optimize the hardware and software, IBM partners with NVIDIA, Mellanox, H2O.ai, SQream, Kinetica, and other prominent companies to design the Power AC922 server, specifically enhanced for the cognitive era. Most of its outstanding hardware features, such as NVIDIA NVLink 2.0 and PCIe 4.0, are described in this publication to illustrate the advantages that clients can realize in comparison with IBM competitors. We also include a brief description about what cognitive computing is, and how to use IBM Watson® Machine Learning cognitive solutions to bring more value to your business ecosystem. Additionally, we show performance charts that show the advantages of using Power AC922 versus x86 competitors. In the last chapter, we describe the most remarkable use cases in which IBM solves real problems using cognitive solutions. This IBM Redpaper publication is aimed at IT technical audiences, especially decision-making levels that need a full look at the benefits and improvements that an IBM Cognitive Solution can offer. It also provides valuable information to data science professionals, enabling them to plan their modeling needs. Finally, it offers information to the infrastructure support group in charge of maintaining the solution.

IBM Watson for Beginners

"The course will start by introducing Watson and what it can do for you.

Author: Duvier Zuluaga Mora

Publisher:

ISBN: OCLC:1137153318

Category:

Page:

View: 121

DOWNLOAD →

"The course will start by introducing Watson and what it can do for you. You will discover the kind of problems Watson can help with, and discover the main components/features that enable it to work. Along the way we'll learn the core Cognitive Computing techniques, concepts, and practices that Watson adopts and makes accessible to all. After that brief start, we'll delve into problem solving with Watson. Each section will deal with a particular kind of problem that Watson can solve, using 1 or more illustrative examples to show you how Watson can be used to solve your own business problems and build powerful intelligent systems. By the end of the course, you'll have a clear grounding in what Watson can do and will be able to use the most popular and important features. You'll have a good idea of the broader capabilities of Cognitive Computing, and how IBM Watson makes these capabilities accessible for all."--Resource description page.

IBM Watson Solutions for Machine Learning

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.

Author: Arindam Ganguly

Publisher: BPB Publications

ISBN: 9789390684700

Category: Computers

Page: 218

View: 574

DOWNLOAD →

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