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Close your eyes and begin to imagine. Picture a device that could answer all your questions provided you knew how to phrase them correctly: A device that could do simple calculations for you including the number of tablespoons in one cup. A device that could tell you the weather today and calculate for you how many more miles you need to run when working out. Won't that be amazing? Well, stop imagining and go grab yourself an Amazon Echo and also this book as your user guide!
AMAZON ECHO USER'S GUIDE TUTORIAL FOR BEGINNERS A painless complete guide on how to set up, explore and master your amazon echo just like a pro Are you in possession of Amazon Echo?If you have one, the fact is that you are probably aren't making a full use of its abilities. Amazon Echo is quite a smart device for the future, and has capacity to control everything in your smart home. And it will as well serve as one of the best personal assistants around.But what exactly are you going to do with amazon Echo? What are the benefits of an Amazon Echo? And some of its limit.This ultimate guide will teach you and show you other important and vital things you must know to improve in the use of your Amazon Echo.The Amazon Alexa is the smartest assistant that you need. It will help you with your daily tasks, with questions concerning traveling and wellness. If you find yourself confused about the capabilities of Alexa, then you are in the right place.Here are some of the things you will learn in this book, including Alexa:- What Alexa is, and how to summon it.- How to set up your Echo.- 8 quick tips for your Amazon Echo safety.- How to protect your Amazon Echo's privacy.- Amazon Echo's privacy and security tips.With Echo being around for lots of years now, you will know now, why it is one of the best personal assistants that we have out there. There is so much you can actually do with the Echo, that you wouldn't want to miss out on. There is no need to sit on the fence anymore, this book will teach you everything you need to know about your Echo, and why it really matters as a smart speaker and also smart device system.Download your copy now by scrolling up and clicking "Buy Now With 1-Click" button.
Amazon Web Services (AWS) provides on-demand cloud computing platforms and application programming interfaces (APIs) to individuals, companies, and govern- ments, along with distributed computing processing capacity and software tools via AWS server farms. This text presents a hands-on approach for beginners to get started with Amazon Web Services (AWS) in a simple way. Key Features It discusses topics such as Amazon Elastic Compute Cloud, Elastic Load Balancing, Auto Scaling Groups, and Amazon Simple Storage Service. It showcases Amazon Web Services’ identity, access management resources, and attribute-based access control. It covers serverless computing services, Virtual Private Cloud, Amazon Aurora, and Amazon Comprehend. It explains Amazon Web Services Free Tier, Amazon Web Services Marketplace, and Amazon Elastic Container Service. It includes security in Amazon Web Services, the shared responsibilitymodel, and high-performance computing on Amazon Web Services. The text is primarily written for graduate students, professionals, and academic researchers working in the fields of computer science, engineering, and information technology. Parul Dubey is currently working as an Assistant professor in the Department of Artificial Intelligence at G H Raisoni College of Engineering, Nagpur, India. She has filed for 15 Indian patents. She is responsible for about 10 publications in conference proceedings, Scopus, and journals. She has contributed book chapters in an edited book published by CRC Press and other reputed publishers. She is also an AWS Certified Cloud Practitioner. Rohit Raja is working as an associate professor and head in the Department of Information Technology at Guru Ghasidas Vishwavidyalaya, Bilaspur, India. His research interests include facial recognition, signal processing, networking, and data mining. He has pub- lished 100 research papers in various international and national journals (including publications by the IEEE, Springer, etc.) and proceedings of reputed international and national conferences (again including publications by Springer and the IEEE).
Swiftly build and deploy machine learning models without managing infrastructure and boost productivity using the latest Amazon SageMaker capabilities such as Studio, Autopilot, Data Wrangler, Pipelines, and Feature Store Key FeaturesBuild, train, and deploy machine learning models quickly using Amazon SageMakerOptimize the accuracy, cost, and fairness of your modelsCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Book Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning models at scale without managing any infrastructure. It helps you focus on the machine learning problem at hand and deploy high-quality models by eliminating the heavy lifting typically involved in each step of the ML process. This second edition will help data scientists and ML developers to explore new features such as SageMaker Data Wrangler, Pipelines, Clarify, Feature Store, and much more. You'll start by learning how to use various capabilities of SageMaker as a single toolset to solve ML challenges and progress to cover features such as AutoML, built-in algorithms and frameworks, and writing your own code and algorithms to build ML models. The book will then show you how to integrate Amazon SageMaker with popular deep learning libraries, such as TensorFlow and PyTorch, to extend the capabilities of existing models. You'll also see how automating your workflows can help you get to production faster with minimum effort and at a lower cost. Finally, you'll explore SageMaker Debugger and SageMaker Model Monitor to detect quality issues in training and production. By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learnBecome well-versed with data annotation and preparation techniquesUse AutoML features to build and train machine learning models with AutoPilotCreate models using built-in algorithms and frameworks and your own codeTrain computer vision and natural language processing (NLP) models using real-world examplesCover training techniques for scaling, model optimization, model debugging, and cost optimizationAutomate deployment tasks in a variety of configurations using SDK and several automation toolsWho this book is for This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.
Enjoy endless entertainment with your Kindle Fire, Fire HD, or Fire HDX Tablet! Amazon's growing suite of tablets gives you the power to watch, work, and play wherever you roam. With access to a large music and video collection, a growing app store, a massive library of e-books, and fast, easy one-click shopping, the Fire Tablet is the hottest ticket in town. Whether you're the owner of the original Kindle Fire, Kindle Fire HD, Kindle Fire HDX, or one of the latest and greatest Fire tablet models, this fun and friendly guide will fuel your love of your tablet and help you make the most of its myriad features and capabilities. Although there's a ton of documentation and online support surrounding Fire tablets, much of it is lacking—not to mention packed with jargon that could make even a tech-guru's head spin. In Fire Tablets For Dummies, you'll get easy-to-understand, thorough, and plain-English explanations of the features and topics you'll encounter as you cruise around your cool new device - no matter which model you choose. Burn through the basics of getting connected, going online, and navigating your tablet's built-in apps before moving on to filling your Fire Tablet with games, books, videos, TV shows, magazines, and more. Covers the key features of the original Kindle Fire, Kindle Fire HD, and Kindle Fire HDX as well as the latest features of the new Fire HD and Fire HDX tablets Shows you how to set up your Fire tablet, navigate with the touchscreen, and connect to Wi-Fi Offers clear instruction on browsing the web, receiving and sending email, and posting on Facebook Walks you through new Amazon services available on the latest Fire Tablet models Provides helpful advice on amazing apps to add fuel to your Fire tablet From music to movies, e-books, apps, photos, and beyond, Fire Tablets For Dummies is your one-stop guide to getting more from your Fire Tablet.
These proceedings are intended to document the evolutions of GIFT as a tool for the authoring of intelligent tutoring systems (ITSs) and the evaluation of adaptive instructional tools and methods. Papers in this volume were selected with the following goals in mind: (1) The candidate papers describe tools and methods that raise the level of knowledge and/or capability in the ITS research and development community (2) The candidate papers describe research, features, or practical applications of GIFT (3) The candidate papers expand ITSs into previously untapped domains (4) The candidate papers build/expand models of automated instruction for individuals and/or teams
For those businesses that want to supplement their sales online or those who want to sell online in a structured, repeatable way, this book shows the new online auction seller the ins and outs. Businesses will learn how to find online auction sites and how to judge whether a particular one meets their needs, how to register and establish an account, and how to list auctions and attract bids.
Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guide Key Features Install, set up, and configure Grafana for real-time data analysis, visualization, and alerting Visualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and Elasticsearch Explore Grafana's cloud support with Microsoft Azure, Amazon CloudWatch, and Google Cloud Monitoring Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGet ready to unlock the full potential of the open-source Grafana observability platform, ideal for analyzing and monitoring time-series data with this updated second edition. This beginners guide will help you get up to speed with Grafana’s latest features for querying, visualizing, and exploring logs and metrics, no matter where they are stored. Starting with the basics, this book demonstrates how to quickly install and set up a Grafana server using Docker. You’ll then be introduced to the main components of the Grafana interface before learning how to analyze and visualize data from sources such as InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book extensively covers key panel visualizations in Grafana, including Time Series, Stat, Table, Bar Gauge, and Text, and guides you in using Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. Exploring real-time data streaming with Telegraf, Promtail, and Loki, you’ll work with observability features like alerting rules and integration with PagerDuty and Slack. As you progress, the book addresses the administrative aspects of Grafana, from configuring users and organizations to implementing user authentication with Okta and LDAP, as well as organizing dashboards into folders, and more. By the end of this book, you’ll have gained all the knowledge you need to start building interactive dashboards.What you will learn Learn the techniques of data visualization using Grafana Get familiar with the major components of Time series visualization Explore data transformation operations, query inspector, and time interval settings Work with advanced dashboard features, such as annotations, variable-based templating, and dashboard linking and sharing Connect user authentication through Okta, Google, GitHub, and other external providers Discover Grafana’s monitoring support for cloud service infrastructures Who this book is for This book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. You’ll also find this book useful if you’re looking to create and share interactive dashboards or get up to speed with the latest features of Grafana. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some Python programming experience will help you understand the concepts covered in the book.
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.
This book constitutes thoroughly revised and selected papers from the Second International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2014, held in Lisbon, Portugal, in January 2014. The 10 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 88 submissions. They are organized in topical sections named: invited papers; modeling languages, tools and architectures; and methodologies, processes and platforms.