A Quick Start Guide To Cloud Computing

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A Quick Start Guide To Cloud Computing

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Author : Mark I Williams
language : en
Publisher: Kogan Page Publishers
Release Date : 2010-10-03

A Quick Start Guide To Cloud Computing written by Mark I Williams and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-03 with Business & Economics categories.

Cloud computing has caused a marketing fog, confusing business executives seeking to understand the technology's potential applications and business benefits. A Quick-Start Guide to Cloud Computing cuts through the industry hype and provides non-technical explanations about what it is and how it can improve your business. With case studies from large and small business, it shows how enabling a remote workforce and sharing resources can reduce your organisation's carbon footprint. It describes: the benefits of cloud computing; how to choose the right supplier and technologies for your particular business; key security issues and the perils and pitfalls to avoid. This Quick Start Guide puts business needs before technology, enabling you to make confident decisions about IT strategy, make the right choices for your business and reject 'solutions' that fix problems you don't have.

Google Cloud Ai Services Quick Start Guide

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Author : Arvind Ravulavaru
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-30

Google Cloud Ai Services Quick Start Guide written by Arvind Ravulavaru and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Computers categories.

Leverage the power of various Google Cloud AI Services by building a smart web application using MEAN Stack Key Features Start working with the Google Cloud Platform and the AI services it offers Build smart web applications by combining the power of Google Cloud AI services and the MEAN stack Build a web-based dashboard of smart applications that perform language processing, translation, and computer vision on the cloud Book Description Cognitive services are the new way of adding intelligence to applications and services. Now we can use Artificial Intelligence as a service that can be consumed by any application or other service, to add smartness and make the end result more practical and useful. Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications. This book will help you build a Smart Exchange, a forum application that will let you upload videos, images and perform text to speech conversions and translation services. You will use the power of Google Cloud AI Services to make our simple forum application smart by validating the images, videos, and text provided by users to Google Cloud AI Services and make sure the content which is uploaded follows the forum standards, without a human curator involvement. You will learn how to work with the Vision API, Video Intelligence API, Speech Recognition API, Cloud Language Process, and Cloud Translation API services to make your application smarter. By the end of this book, you will have a strong understanding of working with Google Cloud AI Services, and be well on the way to building smarter applications. What you will learn Understand Google Cloud Platform and its Cloud AI services Explore the Google ML Services Work with an Angular 5 MEAN stack application Integrate Vision API, Video Intelligence API for computer vision Be ready for conversational experiences with the Speech Recognition API, Cloud Language Process and Cloud Translation API services Build a smart web application that uses the power of Google Cloud AI services to make apps smarter Who this book is for This book is ideal for data professionals and web developers who want to use the power of Google Cloud AI services in their projects, without the going through the pain of mastering machine learning for images, videos and text. Some familiarity with the Google Cloud Platform will be helpful.

Internet Of Things Iot A Quick Start Guide

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Author : Chitra Lele
language : en
Publisher: BPB Publications
Release Date : 2022-02-23

Internet Of Things Iot A Quick Start Guide written by Chitra Lele and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-23 with Antiques & Collectibles categories.

Explore IoT Architecture, Design, and its Implementation KEY FEATURES ● Comprehensive overview of frameworks, protocols, networks, security, and privacy of IoT. ● Covers innovative IoT use cases and industry-wide application areas. ● Includes case studies to demonstrate IoT principles and practices. DESCRIPTION Internet of Things (IoT) A Quick Start Guide explains the architecture, design, and implementation of IoT. The book charts a path where none exists and introduces readers to the ethical and responsible development of IoT solutions. The book begins with the history of IoT, followed by chapters on architectures, networks, and protocols in both software and hardware. The book reveals the next level of IoT framework knowledge, such as ThingWorx and Salesforce Thunder. This book places equal emphasis on a wide range of security and privacy aspects, including Zero Trust Approaches, Forensics, Access Control Lists, and Public Key Infrastructure. Wearables, Industry 4.0, Workplace Analytics, and Product Asset Management are just a few of the applications and use cases that are discussed. Transformative trends such as Augmented Analytics, AR/VR, Digital Twins, and many more are also discussed in the book. After reading this book, readers will get a broad spectrum of knowledge of IoT. They will be able to put the guidance shared to use. WHAT YOU WILL LEARN ● Access to a variety of IoT application areas with compelling use cases. ● Opportunity to experiment with frameworks, tools, and platforms for various IoT assignments. ● Acquire conceptual knowledge about IoT architecture, protocols, and networks. ● Take a look at integrating IoT procedures, software, and hardware. ● Investigate how to develop a data management strategy when implementing IoT. ● Understand the policies governing IoT security, privacy, and interoperability. WHO THIS BOOK IS FOR This book is intended for IT graduates, computer engineers, and industry experts who wish to learn IoT principles, techniques, and protocols to successfully create and deploy safe and secure IoT systems. One does not need prior knowledge of IoT or programming to read this book. TABLE OF CONTENTS 1. IoT: The Basic Dynamics 2. IoT—Nuts and Bolts of the Architecture 3. Data Management Strategy 4. IoT Security, Privacy and Interoperability: What, Why, How, and What Next 5. Applications and Use Cases 6. Current and Future Trends

Machine Learning With Apache Spark Quick Start Guide

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Author : Jillur Quddus
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-26

Machine Learning With Apache Spark Quick Start Guide written by Jillur Quddus and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-26 with Computers categories.

Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-time Key FeaturesMake a hands-on start in the fields of Big Data, Distributed Technologies and Machine LearningLearn how to design, develop and interpret the results of common Machine Learning algorithmsUncover hidden patterns in your data in order to derive real actionable insights and business valueBook Description Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any purpose, from analyzing consumer habits to fighting disease and serious organized crime. Ultimately, we manage data in order to derive value from it, and many organizations around the world have traditionally invested in technology to help process their data faster and more efficiently. But we now live in an interconnected world driven by mass data creation and consumption where data is no longer rows and columns restricted to a spreadsheet, but an organic and evolving asset in its own right. With this realization comes major challenges for organizations: how do we manage the sheer size of data being created every second (think not only spreadsheets and databases, but also social media posts, images, videos, music, blogs and so on)? And once we can manage all of this data, how do we derive real value from it? The focus of Machine Learning with Apache Spark is to help us answer these questions in a hands-on manner. We introduce the latest scalable technologies to help us manage and process big data. We then introduce advanced analytical algorithms applied to real-world use cases in order to uncover patterns, derive actionable insights, and learn from this big data. What you will learnUnderstand how Spark fits in the context of the big data ecosystemUnderstand how to deploy and configure a local development environment using Apache SparkUnderstand how to design supervised and unsupervised learning modelsBuild models to perform NLP, deep learning, and cognitive services using Spark ML librariesDesign real-time machine learning pipelines in Apache SparkBecome familiar with advanced techniques for processing a large volume of data by applying machine learning algorithmsWho this book is for This book is aimed at Business Analysts, Data Analysts and Data Scientists who wish to make a hands-on start in order to take advantage of modern Big Data technologies combined with Advanced Analytics.

Oracle Blockchain Quick Start Guide

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Author : Vivek Acharya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-09-06

Oracle Blockchain Quick Start Guide written by Vivek Acharya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-06 with Computers categories.

Get up and running with Oracle’s premium cloud blockchain services and build distributed blockchain apps with ease Key FeaturesDiscover Hyperledger Fabric and its components, features, qualifiers, and architectureGet familiar with the Oracle Blockchain Platform and its unique featuresBuild Hyperledger Fabric-based business networks with Oracle’s premium blockchain cloud serviceBook Description Hyperledger Fabric empowers enterprises to scale out in an unprecedented way, allowing organizations to build and manage blockchain business networks. This quick start guide systematically takes you through distributed ledger technology, blockchain, and Hyperledger Fabric while also helping you understand the significance of Blockchain-as-a-Service (BaaS). The book starts by explaining the blockchain and Hyperledger Fabric architectures. You'll then get to grips with the comprehensive five-step design strategy - explore, engage, experiment, experience, and influence. Next, you'll cover permissioned distributed autonomous organizations (pDAOs), along with the equation to quantify a blockchain solution for a given use case. As you progress, you'll learn how to model your blockchain business network by defining its assets, participants, transactions, and permissions with the help of examples. In the concluding chapters, you'll build on your knowledge as you explore Oracle Blockchain Platform (OBP) in depth and learn how to translate network topology on OBP. By the end of this book, you will be well-versed with OBP and have developed the skills required for infrastructure setup, access control, adding chaincode to a business network, and exposing chaincode to a DApp using REST configuration. What you will learnModel your blockchain-based business network by defining its components, transactions, integrations, and infrastructure through use casesDevelop, deploy, and test chaincode using shim and REST, and integrate it with client apps using SDK, REST, and eventsExplore accounting, blockchain, hyperledger fabric, and its components, features, qualifiers, architecture and structureUnderstand the importance of Blockchain-as-a-Service (BaaS)Experiment Hyperledger Fabric and delve into the underlying technologySet up a consortium network, nodes, channels, and privacy, and learn how to translate network topology on OBPWho this book is for If you are a blockchain developer, blockchain architect or just a cloud developer looking to get hands-on with Oracle Blockchain Cloud Service, then this book is for you. Some familiarity with the basic concepts of blockchain will be helpful to get the most out of this book

Continuous Delivery And Devops A Quickstart Guide

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Author : Paul Swartout
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31

Continuous Delivery And Devops A Quickstart Guide written by Paul Swartout and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Computers categories.

A practical and engaging guide to help map out, plan and navigate through the journey to successful CD and DevOps adoption. Key FeaturesIdentify and overcome the issues that stifle the delivery of quality softwareLearn how Continuous Delivery and DevOps work together with other agile toolsReal-world examples, tricks and tips that will help the successful adoption of CD & DevOpsBook Description Over the past few years, Continuous Delivery (CD) and DevOps have been in the spotlight in tech media, at conferences, and in boardrooms alike. Many articles and books have been written covering the technical aspects of CD and DevOps, yet the vast majority of the industry doesn’t fully understand what they actually are and how, if adopted correctly they can help organizations drastically change the way they deliver value. This book will help you figure out how CD and DevOps can help you to optimize, streamline, and improve the way you work to consistently deliver quality software. In this edition, you’ll be introduced to modern tools, techniques, and examples to help you understand what the adoption of CD and DevOps entails. It provides clear and concise insights in to what CD and DevOps are all about, how to go about both preparing for and adopting them, and what quantifiable value they bring. You will be guided through the various stages of adoption, the impact they will have on your business and those working within it, how to overcome common problems, and what to do once CD and DevOps have become truly embedded. Included within this book are some real-world examples, tricks, and tips that will help ease the adoption process and allow you to fully utilize the power of CD and DevOps What you will learnExplore Continuous Delivery and DevOps in depthDiscover how CD and DevOps fits in with recent trends such as DataOps, SecOps, pipelines and CIUnderstand the root causes of the pain points within your existing product delivery processUnderstand the human elements of CD and DevOps and how intrinsic they are to your successAvoid common traps, pitfalls and hurdles as you implement CD and DevOpsMonitor and communicate the relative success of DevOps and CD adoptionExtend and reuse CD and DevOps approachesWho this book is for Whether you are a software developer, a system administrator, an agile coach, a product manager, a project manager, a CTO, a VP, a CEO or anyone else involved in software delivery, you will have a common problem which is delivering quality software. This book has been written for anyone and everyone who wants to understand how to regularly deliver quality software to their customers without said pain.

Natural Language Processing With Python Quick Start Guide

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Author : Nirant Kasliwal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-30

Natural Language Processing With Python Quick Start Guide written by Nirant Kasliwal and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Computers categories.

Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key FeaturesA no-math, code-driven programmer’s guide to text processing and NLPGet state of the art results with modern tooling across linguistics, text vectors and machine learningFundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorchBook Description NLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. We use text embedding for both clustering documents and making chatbots, and then build classifiers using scikit-learn. We conclude by deploying these models as REST APIs with Flask. By the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges. What you will learnUnderstand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpusWork with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clusteringDeep Learning in NLP using PyTorch with a code-driven introduction to PyTorchUsing an NLP project management Framework for estimating timelines and organizing your project into stagesHack and build a simple chatbot application in 30 minutesDeploy an NLP or machine learning application using Flask as RESTFUL APIsWho this book is for Programmers who wish to build systems that can interpret language. Exposure to Python programming is required. Familiarity with NLP or machine learning vocabulary will be helpful, but not mandatory.

Aws Lambda Quick Start Guide

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Author : Markus Klems
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-29

Aws Lambda Quick Start Guide written by Markus Klems and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Computers categories.

Discover techniques and tools for building serverless applications with AWS Lambda Key Features Learn to write, run, and deploy Lambda functions in the AWS cloud Make the most of AWS Lambda functions to build scalable and cost-efficient systems A practical guide to developing serverless services and applications in Node.js, Java, Python, and C# Book Description AWS Lambda is a part of AWS that lets you run your code without provisioning or managing servers. This enables you to deploy applications and backend services that operate with no upfront cost. This book gets you up to speed on how to build scalable systems and deploy serverless applications with AWS Lambda. The book starts with the fundamental concepts of AWS Lambda, and then teaches you how to combine your applications with other AWS services, such as AmazonAPI Gateway and DynamoDB. This book will also give a quick walk through on how to use the Serverless Framework to build larger applications that can structure code or autogenerate boilerplate code that can be used to get started quickly for increased productivity. Toward the end of the book, you will learn how to write, run, and test Lambda functions using Node.js, Java, Python, and C#. What you will learn Understand the fundamental concepts of AWS Lambda Get to grips with the Serverless Framework and how to create a serverless project Testing and debugging Lambda functions Create a stateful, serverless backend with DynamoDB Program AWS Lambda with Java, Python, and C# Program a lambda function with Node.js Who this book is for This book is primarily for IT architects and developers who want to build scalable systems and deploy serverless applications with AWS Lambda. No prior knowledge of AWS is necessary.

Blockchain Quickstart Guide

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Author : Dr. Kalpesh Parikh
language : en
Publisher: BPB Publications
Release Date : 2022-03-22

Blockchain Quickstart Guide written by Dr. Kalpesh Parikh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-22 with Antiques & Collectibles categories.

Adopt distributed technology to deliver immutable data ownership solutions KEY FEATURES ● Understand how Blockchain is the backbone of bitcoin and smart contracts. ● Complete coverage across distributed systems, blockchain frameworks, smart contracts and wallet. ● Includes use-cases and current trends on the adoption of blockchain across different business models. DESCRIPTION This book is about developing a comprehensive understanding of blockchain, how it works and can benefit the functioning of the organization. This book exposes you to blockchain technology and illustrates how to leverage it to create value. First, you should have a working grasp of cryptography, cypher modes, digital signatures, and digital certificates, all of which are thoroughly covered in the first chapter of this book. By gradually introducing you to Distributed Ledger Technology, you can start understanding blockchain. After that, you'll become acquainted with fundamental blockchain concepts like consensus models, algorithms, and procedures. You'll learn about blockchain platforms such as Ethereum and Hyperledger Fabric that enable the development of DApps, DeFi applications, and systems driven by blockchains. Additionally, concepts such as smart contracts, the Ethereum virtual machine, accounts, wallets, GAS, and mining are explained briefly and simplified. The book analyses current blockchain developments, various blockchain as a Service (BaaS) platforms and helps you to gain a better grasp of the technology. Throughout the book, you will understand multiple blockchain principles, procedures, tools, and platforms required to begin developing blockchain-based business networks. WHAT YOU WILL LEARN ● Acquaint yourself with the blockchain's application cases and primary benefits. ● Consensus models, distributed networks, and cryptography techniques are well-understood. ● Recognize how smart contracts and cryptocurrencies work. ● Familiarize yourself with the HyperLedger Fabric and Ethereum. ● Examine the Blockchain-as-a-Service (BaaS) model, platform, user interfaces, infrastructure, and network. WHO THIS BOOK IS FOR This book is intended for prospective blockchain developers, technical consultants, and anybody who is interested in learning and exploring the principles of blockchain technology, including the distributed systems, networking, cryptography, and smart contracts. Having prior knowledge around IT systems would be preferred. TABLE OF CONTENTS 1. Cryptography – The Basics 2. Understanding Distributed Ledger Technology and Blockchain 3. Consensus Models in Blockchain 4. Cryptocurrency 5. Ethereum, Smart Contract, and dApps 6. Hyperledger Fabric 7. Blockchain Trends

Deep Learning With Pytorch Quick Start Guide

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Author : David Julian
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-24

Deep Learning With Pytorch Quick Start Guide written by David Julian and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-24 with Computers categories.

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing. Key FeaturesClear and concise explanationsGives important insights into deep learning modelsPractical demonstration of key conceptsBook Description PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to predict text. By the end of this book, you will be familiar with PyTorch's capabilities and be able to utilize the library to train your neural networks with relative ease. What you will learnSet up the deep learning environment using the PyTorch libraryLearn to build a deep learning model for image classificationUse a convolutional neural network for transfer learningUnderstand to use PyTorch for natural language processingUse a recurrent neural network to classify textUnderstand how to optimize PyTorch in multiprocessor and distributed environmentsTrain, optimize, and deploy your neural networks for maximum accuracy and performanceLearn to deploy production-ready modelsWho this book is for Developers and Data Scientist familiar with Machine Learning but new to deep learning, or existing practitioners of deep learning who would like to use PyTorch to train their deep learning models will find this book to be useful. Having knowledge of Python programming will be an added advantage, while previous exposure to PyTorch is not needed.