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Learning IBM Bluemix

2016-10-31
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Release : 2016-10-31
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Kind : eBook
Book Rating : 741/5 ( reviews)

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Book Synopsis Learning IBM Bluemix by : Sreelatha Sankaranarayanan

Download or read book Learning IBM Bluemix written by Sreelatha Sankaranarayanan. This book was released on 2016-10-31. Available in PDF, EPUB and Kindle. Book excerpt: Demystify web and mobile development (along with cloud deployment) by leveraging the power of IBM BluemixAbout This Book*The first book in the market to leverage the power of IBM Bluemix*Shows developers how to develop and deploy applications on the cloud effectively using IBM Bluemix*A comprehensive guide to help you get to grips with IBM Bluemix using a sample applicationWho This Book Is ForThis book is aimed at developers seeking to learn application development and deployment methods on IBM Bluemix. A basic knowledge of Java and Node.js is assumed.What You Will Learn*Discover IBM Bluemix as a PaaS platform and learn about its three delivery models*Develop and deploy a "Hello World" application on IBM Bluemix using the Cloud Foundry command line utility and the Bluemix console*Extend your application by using the API or services provided by IBM Bluemix*Create an application based on microservice architecture*Leverage an on-premise software to build an application on IBM Bluemix*Scale and monitor an application on IBM Bluemix*Explore the three open source compute options on IBM Bluemix and work with each*Build a real-world mobile application on IBM Bluemix based on visual recognitionIn DetailIBM Bluemix is an open-standard platform for building, running, and managing applications on the cloud. With Bluemix, developers can build excellent applications with various computing options and DevOps tools.Learning IBM Bluemix will take you on a journey from the basics of IBM Bluemix to working with the platform to develop and deploy a new-age application. The sample application use cases employed in the book will introduce you to the transformative nexus of cloud, mobile, and security, all enabled through capabilities provided out-of-the-box by IBM Bluemix. The book will help create a sample mobile application using various Bluemix services, and will demonstrate how Bluemix makes life easy for all types of developer.By the end of the book, you will have understood the benefits and use cases for IBM Bluemix, and will possess the skills to further explore the platform and thus develop, deploy, and secure your own innovative, new-age applications.

Learning IBM Bluemix

2016-10-25 Computers
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Release : 2016-10-25
Genre : Computers
Kind : eBook
Book Rating : 99X/5 ( reviews)

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Book Synopsis Learning IBM Bluemix by : Sreelatha Sankaranarayanan

Download or read book Learning IBM Bluemix written by Sreelatha Sankaranarayanan. This book was released on 2016-10-25. Available in PDF, EPUB and Kindle. Book excerpt: Demystify application development on cloud platform by leveraging the power of IBM Bluemix About This Book The first book in the market that discusses the power of IBM Bluemix Shows developers how to develop and deploy applications on the cloud platform using IBM Bluemix A comprehensive guide to help you get started with IBM Bluemix also featuring samples applications Who This Book Is For This book is aimed at developers seeking to learn application development and deployment methods on IBM Bluemix. A basic knowledge of Java and Node.js is assumed. What You Will Learn Discover IBM Bluemix as a PaaS platform and learn about its three delivery models Develop and deploy a "Hello World" application on IBM Bluemix using the Cloud Foundry command line utility and the Bluemix console Extend your application by using the API or services provided by IBM Bluemix Understand microservices architecture and learn how to develop a sample application based on microservices architecture, using IBM Bluemix Learn how to leverage on-premise software and build an application on IBM Bluemix Scale and monitor an application on IBM Bluemix Explore the compute options on IBM Bluemix and work with each of them Build a mobile client application using Mobile services on IBM Bluemix In Detail IBM Bluemix is an open standard platform for building, running, and managing applications on the cloud. With Bluemix, developers can build innovative applications using various compute options and value added services , developers can also manage the application lifecycle using the platform provided DevOps services. Learning IBM Bluemix will take you on a journey from the basics of IBM Bluemix to working with the platform to developing and deploying of modern applications. The sample application use cases employed in the book will introduce you to the transformative nexus of cloud, mobile, and security, all enabled through capabilities provided out-of-the-box by IBM Bluemix. By the end of the book, you will have understood the benefits and use cases for IBM Bluemix, and will possess the skills to further explore the platform and thus develop, deploy, and secure your own innovative, new-age applications. Style and approach This comprehensive, step-by-step guide to learning IBM Bluemix will cover everything that is required to build, deploy, manage, and secure an application on the cloud.

IBM Watson Solutions for Machine Learning

2021-06-19 Computers
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Release : 2021-06-19
Genre : Computers
Kind : eBook
Book Rating : 706/5 ( reviews)

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Book Synopsis IBM Watson Solutions for Machine Learning by : Arindam Ganguly

Download or read book IBM Watson Solutions for Machine Learning written by Arindam Ganguly. This book was released on 2021-06-19. 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

Hands-On Machine Learning with IBM Watson

2019-03-29 Computers
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Release : 2019-03-29
Genre : Computers
Kind : eBook
Book Rating : 271/5 ( reviews)

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Book Synopsis Hands-On Machine Learning with IBM Watson by : James D. Miller

Download or read book Hands-On Machine Learning with IBM Watson written by James D. Miller. This book was released on 2019-03-29. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Building Cognitive Applications with IBM Watson Services: Volume 1 Getting Started

2017-06-23 Computers
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Release : 2017-06-23
Genre : Computers
Kind : eBook
Book Rating : 64X/5 ( reviews)

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Book Synopsis Building Cognitive Applications with IBM Watson Services: Volume 1 Getting Started by : Dr. Alfio Gliozzo

Download or read book Building Cognitive Applications with IBM Watson Services: Volume 1 Getting Started written by Dr. Alfio Gliozzo. This book was released on 2017-06-23. 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.

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