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Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 77
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Book Description
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: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 77
Get Book Here
Book Description
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: Dr. Alfio Gliozzo
Publisher: IBM Redbooks
ISBN: 073844264X
Category : Computers
Languages : en
Pages : 130
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Book Description
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:
ISBN: 9781785880773
Category : COMPUTERS
Languages : en
Pages : 244
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Book Description
Important concepts and terminologies -- Structured versus unstructured -- Text analytics -- Searching -- Discovery -- Mining -- Collections -- Facets -- Frequency -- Correlation -- Deviation -- Generally good advice -- Hints -- Join in -- Summary -- Chapter 2: Identifying Use Cases -- Defining a use case -- Importance of use cases -- Working with Watson -- What to ask of your data -- Building questions -- Putting data into context -- Importance of data context -- Use case examples -- Summary -- Chapter 3: Designing Solutions with Watson Analytics -- Data considerations
Author: James D. Miller
Publisher: Packt Publishing Ltd
ISBN: 1789616271
Category : Computers
Languages : en
Pages : 277
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Book Description
Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key FeaturesImplement data science and machine learning techniques to draw insights from real-world dataUnderstand what IBM Cloud platform can help you to implement cognitive insights within applicationsUnderstand the role of data representation and feature extraction in any machine learning systemBook Description IBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson Machine Learning. You'll gain insights into running various techniques, such as K-means clustering, K-nearest neighbor (KNN), and time series prediction in IBM Cloud with real-world examples. The book will then help you delve into creating a Spark pipeline in Watson Studio. You will also be guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. With the help of NLP techniques, you can then brush up on building a chatbot. In later chapters, you will cover three powerful case studies, including the facial expression classification platform, the automated classification of lithofacies, and the multi-biometric identity authentication platform, helping you to become well versed with these methodologies. By the end of this book, you will be ready to build efficient machine learning solutions on the IBM Cloud and draw insights from the data at hand using real-world examples. What you will learnUnderstand key characteristics of IBM machine learning servicesRun supervised and unsupervised techniques in the cloudUnderstand how to create a Spark pipeline in Watson StudioImplement deep learning and neural networks on the IBM Cloud with TensorFlowCreate a complete, cloud-based facial expression classification solutionUse biometric traits to build a cloud-based human identification systemWho this book is for This beginner-level book is for data scientists and machine learning engineers who want to get started with IBM Cloud and its machine learning services using practical examples. Basic knowledge of Python and some understanding of machine learning will be useful.
Author: Matt Coatney
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
"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.
Author: Navin Sabharwal
Publisher: Apress
ISBN: 1484255550
Category : Computers
Languages : en
Pages : 265
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Book Description
Cognitive Virtual Bots are taking the technology and user experience world by storm. This book provides clear guidance on how different cognitive platforms can be used to develop Cognitive Virtual Assistants that enable a conversation by using DialogFlow and advanced Natural Language Processing. You will start by understanding the technology landscape and various use cases that Cognitive Virtual Assistants can be used in. Early chapters will take you through the basics of Cognitive Virtual Assistants, before moving onto advanced concepts and hands on examples of using IBM Watson Assistant and its advanced configurations with Watson Discovery Services, Watson Knowledge Studio and Spellchecker Service. You'll then examine integrations that enrich the Cognitive Virtual Assistant by providing data around weather, locations, stock markets. The book concludes by providing a glimpse of what to expect in the future for Cognitive Virtual Assistants. What You'll Learn Review the fundamentals of Cognitive Virtual Assistants.Develop a Cognitive Virtual Assistant from scratch using IBM Watson platform.Integrate and enrich your Virtual Agent with other services such as weather, location and stocks.Instantly deliver your bot on major messaging channels such as Skype, SMS, and WebchatTrain your Cognitive Virtual Agent on specific use cases.Who This Book Is ForAI and machine learning engineers, cognitive solutions architects and developers would find the book extremely useful
Author: Dr. Azeddine Elhassouny
Publisher: IBM Redbooks
ISBN: 0738442577
Category : Computers
Languages : en
Pages : 144
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Book Description
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.
Author: Samarjeet Borah
Publisher: Springer Nature
ISBN: 9811573948
Category : Technology & Engineering
Languages : en
Pages : 693
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Book Description
Focusing on soft computing techniques and application in various engineering research domains, this book presents the state-of-the-art outcomes from ongoing research works being conducted in various research laboratories and educational institutions. The included research works deal with estimated models and give resolutions to complex real-life issues. In the field of evolutionary computing and other domains of applications, such as, data mining and fuzzy logic, soft computing techniques play an incomparable role, where it successfully handles contemporary computationally intensive and complex problems that have usually appeared to be inflexible to traditional mathematical methods. Comprising the concepts and applications of soft computing with other emerging research domains, this book cherishes varieties of modern applications in the fields of natural language processing, image processing, biomedical engineering, communication, control systems, circuit design etc.
Author: Wei-Dong (Jackie) Zhu
Publisher: IBM Redbooks
ISBN: 0738439428
Category : Computers
Languages : en
Pages : 598
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Book Description
IBM® WatsonTM Content Analytics (Content Analytics) Version 3.0 (formerly known as IBM Content Analytics with Enterprise Search (ICAwES)) helps you to unlock the value of unstructured content to gain new actionable business insight and provides the enterprise search capability all in one product. Content Analytics comes with a set of tools and a robust user interface to empower you to better identify new revenue opportunities, improve customer satisfaction, detect problems early, and improve products, services, and offerings. To help you gain the most benefits from your unstructured content, this IBM Redbooks® publication provides in-depth information about the features and capabilities of Content Analytics, how the content analytics works, and how to perform effective and efficient content analytics on your content to discover actionable business insights. This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, and interfacing with IBM Cognos® Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics.
Author: James Miller
Publisher:
ISBN: 9781789343717
Category : Computers
Languages : en
Pages : 340
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Book Description
Incorporate intelligence to your data-driven business insights and high accuracy business solutions Key Features Explore IBM Watson capabilities such as Natural Language Processing (NLP) and machine learning Build projects to adopt IBM Watson across retail, banking, and healthcare Learn forecasting, anomaly detection, and pattern recognition with ML techniques Book 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 learn Build a smart dialog system with cognitive assistance solutions Design a text categorization model and perform sentiment analysis on social media datasets Develop a pattern recognition application and identify data irregularities smartly Analyze trip logs from a driving services company to determine profit Provide insights into an organization's supply chain data and processes Create personalized recommendations for retail chains and outlets Test forecasting effectiveness for better sales prediction strategies Who 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.
