“…This course takes a lab-based approach to teaching you, which means we will focus on how to develop throughout the training so you can get some hands-on experience working in AWS. You will also learn about the objectives in the exam, but the emphasis is on doing so you can gain the experience needed to actually develop in AWS as well as pass the test. …”

“…Hartl explains how each new technique solves a real-world problem, and then he demonstrates it with bite-sized code that’s simple enough to understand while still being useful. About the Instructor Michael Hartl is the creator of the Ruby on Rails Tutorial, one of the leading introductions to web development, and is cofounder and principal author at Learn Enough. …”

“…In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. …”

“…By the end of the book, you will have explored related web resources and technologies that will help you take your learning to the next level. By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data. …”

“…You will then learn about GANs, and how they can unlock new levels of AI performance. …”

“…Coverage includes Understanding what Core Data is and what it can (and can’t) do Configuring basic managed object models, and choosing data types Expanding data models without introducing errors Using relationships and entity inheritance to unlock more power Delivering memory-efficient, high performance table views Enabling users to easily modify managed object attributes Generating persistent stores of preloaded default data Using Deep Copy to copy objects and relationships between persistent stores Optimizing performance by eliminating bottlenecks and offloading intensive tasks to the background Implementing efficient search Integrating diverse iCloud accounts and preferences Mastering advanced iCloud integration, including entity-level seeding and unique object de-dupe Leveraging public CloudKit databases to sync data across users with different iCloud accounts About the Website All code samples are available for download at timroadley.com. informit.com/learningseries timroadley.com…”

“…The source code repository for this LiveLesson can be found at www.informit.com/title/9780134051239 . About the Instructor Colleen Macklin is a game designer, an Associate Professor in the school of Art, Media and Technology at Parsons The New School for Design, where she has been teaching interaction and game design for over 20 years. …”

“…If you're working with larger environments, you'll also be able to find out more about distributed data collection using Zabbix proxies. …”

“…Discover how to use the LEGO MINDSTORMS Inventor kit and boost your confidence in roboticsKey FeaturesGain confidence in building robots using creative designsLearn advanced robotic features and find out how to integrate them to build a robotWork with the block coding language used in robotics software in a practical wayBook DescriptionLEGO MINDSTORMS Robot Inventor is the latest addition to the LEGO MINDSTORMS theme. …”

“…Use it to get deep into your React development world and find out why React has been rated the most loved framework by front-end developers for three years in a row. …”

Tabla de Contenidos: “…-- Chapter 1: Tell You What You Want, Whatcha Really Really Want -- Chapter 2: Face Your Fake News Fears -- Chapter 3: Ghost Your Inner Good Girl -- Chapter 4: Become a Bad Listener -- Chapter 5: Feel Jealous to Find Genius -- Chapter 6: Dress Up Your Big Deal Dreams -- Chapter 7: Cape Up So You Don't Cop Out -- Chapter 8: Prep for the Paradox -- Chapter 9: Your Party, Your Playlist -- Final Thought: Your Volume is Up To You -- Acknowledgments -- Ready for the Big Leagues? …”

“…It delivers greater resource utilization so you can get the most from your storage resources, and achieve a simpler, more scalable, and cost-efficient IT Infrastructure. …”

“…As you progress, you'll learn about scale-out Repositories and best practices for creating them. …”

“…After completing this course, you should be able to accomplish the following tasks: Define cloud computing Describe the factors that lead to the adoption of cloud computing Describe the choices that developers have when creating cloud applications Describe infrastructure as a service, platform as a service, and software as a service Describe IBM Bluemix and its architecture Identify the runtimes and services that IBM Bluemix offers Describe IBM Bluemix infrastructure types Create an application in IBM Bluemix Describe the IBM Bluemix dashboard, catalog, and documentation features Explain how the application route is used to test an application from the browser Create services in IBM Bluemix Describe how to bind services to an application in IBM Bluemix Describe the environment variables that are used with IBM Bluemix services Explain what are IBM Bluemix organizations, domains, spaces, and users Describe how to create an IBM SDK for Node.js application that runs on IBM Bluemix Explain how to manage your IBM Bluemix account with the Cloud Foundry CLI Describe how to set up and use the IBM Bluemix plug-in for Eclipse Describe the role of Node.js for server-side scripting Describe IBM Bluemix DevOps Services and the capabilities of IBM DevOps Services Identify the Web IDE features in IBM Bluemix DevOps Describe how to connect a Git repository client to Bluemix DevOps Services project Explain the pipeline build and deploy processes that IBM Bluemix DevOps Services use Describe how IBM Bluemix DevOps Services integrate with the IBM Bluemix cloud Describe the agile planning tools in IBM Bluemix Describe the characteristics of REST APIs Explain the advantages of the JSON data format Describe an example of REST APIs using Watson Describe the main types of data services in I..…”

“…By the end of this Agile book, you'll be able to operate as an architect in Agile development initiatives and successfully architect reliable software systems.What you will learnAcquire clarity on the duties of architects in Agile developmentUnderstand architectural styles such as domain-driven design and microservicesIdentify the pitfalls of traditional architecture and learn how to develop solutionsUnderstand the principles of value and data-driven architectureDiscover DevOps and continuous delivery from an architect s perspectiveAdopt Lean-Agile documentation and governanceDevelop a set of personal and interpersonal qualitiesFind out how to lead the transformation to achieve organization-wide agilityWho this book is forThis agile study guide is for architects currently working on agile development projects or aspiring to work on agile software delivery, irrespective of the methodology they are using. …”

“…Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. …”

“…This includes Kubernetes, Docker, Ubuntu Linux, Minio, Ceph, and many networking concepts such as overlay networks, service meshes, load balancing, ingress controllers, and proxies. About the Instructor Vallard Benincosa a senior engineer at a small startup called Zenabi. …”

“…Topics Include: Module 1: ISE Fundamentals Module 2: Policies Module 3: Device Identification and Onboarding Module 4: Compliance and Network Device Control About the Instructors Joseph Muniz is an architect at Cisco Systems and a security researcher. …”

“…This book introduces and explores iOS augmented reality mobile app development specifically for .NET developers. The continued adoption and popularity of Xamarin, a tool that allows cross-platform mobile application development, opens up many app publishing opportunities to .NET developers that were never before possible, including AR development. …”

Tabla de Contenidos: “…-- Installing Keras and TensorFlow -- Implementing the core deep learning models - MLPs, CNNs and RNNs -- The difference between MLPs, CNNs, and RNNs -- Multilayer perceptrons (MLPs) -- MNIST dataset -- MNIST digits classifier model -- Building a model using MLPs and Keras -- Regularization -- Output activation and loss function -- Optimization -- Performance evaluation -- Model summary -- Convolutional neural networks (CNNs) -- Convolution -- Pooling operations -- Performance evaluation and model summary -- Recurrent neural networks (RNNs) -- Conclusion -- Chapter 2: Deep Neural Networks -- Functional API -- Creating a two-input and one-output model -- Deep residual networks (ResNet) -- ResNet v2 -- Densely connected convolutional networks (DenseNet) -- Building a 100-layer DenseNet-BC for CIFAR10 -- Conclusion -- References -- Chapter 3: Autoencoders -- Principles of autoencoders -- Building autoencoders using Keras -- Denoising autoencoder (DAE) -- Automatic colorization autoencoder -- Conclusion -- References -- Chapter 4: Generative Adversarial Networks (GANs) -- An overview of GANs -- Principles of GANs -- GAN implementation in Keras -- Conditional GAN -- Conclusion -- References -- Chapter 5: Improved GANs -- Wasserstein GAN -- Distance functions -- Distance function in GANs -- Use of Wasserstein loss -- WGAN implementation using Keras -- Least-squares GAN (LSGAN) -- Auxiliary classifier GAN (ACGAN) -- Conclusion -- References -- Chapter 6: Disentangled Representation GANs -- Disentangled representations -- InfoGAN -- Implementation of InfoGAN in Keras -- Generator outputs of InfoGAN -- StackedGAN -- Implementation of StackedGAN in Keras…”