“…What you will learn Discover the benefits of leveraging the cloud for ML and AI Use Cognitive Services APIs to build intelligent bots Build a model using canned algorithms from Microsoft and deploy it as a web service Deploy virtual machines in AI development scenarios Apply R, Python, SQL Server, and Spark in Azure Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow Implement model retraining in IoT, Streaming, and Blockchain solutions Explore best practices for integrating ML and AI functions with ADLA and logic apps Who this book is for If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. …”

“…Basic familiarity with DevOps and transformational methods such as value streams and process are needed to get the most out of this book…”

“…Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today's data streams, and apply these tools to specific NLP tasks. …”

“…As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. …”

“…Finally, the book combines all that you've learned, explaining the methodologies of continuous experimentation, deployment, and delivery before providing you with some final thoughts on how to start making progress.By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change so that you can deliver value at the pace needed by your business.What You Will Learn:Explore architectural patterns to create anti-fragile systems that thrive with changeFocus on DevOps practices that empower self-sufficient, full-stack teamsBuild enterprise-scale serverless systemsApply microservices principles to the frontendDiscover how SOLID principles apply to software and database architectureCreate event stream processors that power the event sourcing and CQRS patternDeploy a multi-regional system, including regional health checks, latency-based routing, and replicationExplore the Strangler pattern for migrating legacy systemsWho this book is for:This book is for software architects and aspiring software architects who want to learn about different patterns and best practices to design better software. …”

“…Using a detailed sequence of activities, including over 140 figures and tables as well as checklists and evaluation tools, he demonstrates how to realize the rapid improvement of office operations, and how to eliminate unnecessary tasks through value stream mapping (VSM). The book also emphasizes the importance of strategic alignment of Kaizen events and the impact of organizational culture on process improvement activities. …”

“…Configure the codec to stream digital audio and design digital filters to create amazing audio effects. …”

“…Machine learning principles with libraries such as Mahout Batch and Stream data processing using Apache Spark In Detail Big data is the current requirement. …”

“…What You Will Learn Monitor several Arduino boards simultaneously Tweet sensor data directly from your Arduino board Post updates on your Facebook wall directly from your Arduino board Create an automated access control with a fingerprint sensor Control your entire home from a single dashboard Make a GPS tracker that you can track in Google Maps Build a live camera that streams directly from your robot In Detail Arduino is a powerful and very versatile platform used by millions of people around the world to create DIY electronics projects. …”

“…You will begin with the basics of Delphi and get acquainted with JSON format strings, XSLT transformations, unicode encodings and various types of streams. We then move on to more advanced topics such as developing higher-order functions and using enumerators and RTTI. …”

“…What You Will Learn Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer Installing and maintaining Hadoop 2.X cluster and its ecosystem Advanced Data Analysis using the Hive, Pig, and Map Reduce programs Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0 Dive into YARN and Storm and use YARN to integrate Storm with Hadoop Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS Federation In Detail As Marc Andreessen has said "Data is eating the world," which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. …”

“…You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. …”

“…What you will learn Use TypeScript to create Angular 6 components Leverage component composition to solve complex UI requirements Build an architecture using pure components and container components Explore the basics of RxJS observable streams and use them to build your application reactively Communicate between components using child queries Implement the Angular router to make your application navigable Build reusable and dynamic graphical content using Angular components and SVG Integrate third-party libraries such as Moment.js and Chartist into your existing Angular application Who this book is for Mastering Angular Components is for you if you are an Angular developer who already has a good understanding of basic frontend web technologies such as Ja..…”

“…You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you'll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras. …”

“…About This Book Build a full-fledged image processing application using JuliaImages Perform basic to advanced image and video stream processing with Julia's APIs Understand and optimize various features of OpenCV with easy examples Who This Book Is For Hands-On Computer Vision with Julia is for Julia developers who are interested in learning how to perform image processing and want to explore the field of computer vision. …”

“…Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams. Style and approach This is a hands on guide full of easy-to-follow examples, that illust..…”

“…Featuring a wealth of real-life success stories, visual tools, and exercises that are prescriptive and inspirational, Scale or Fail offers proven scaling strategies and a proactive approach to: Create your Big Picture Vision and build a plan to achieve it Produce an ever-flowing stream of cash flow with consistent profits Establish a powerhouse team that functions well without you Become a true leader and feel like you deserve your success Improve systems and processes that facilitate scaling Get past the mental and strategic pitfalls that cause revenue bottlenecks Scale or Fail is adaptable to any type of business—manufacturing, consumer goods, a brick and mortar, a digital service, a wholesaler, a consulting service, and everything in between. …”

“…What you will learn Design reusable mobile architectures that can be applied to apps at any scale Get up to speed with error handling and debugging for mobile application development Apply the principle of 'composition over inheritance' to break down complex problems into many simple problems Update your code and see the results immediately using Flutter's hot reload Identify and prevent bugs from reappearing with Flutter's developer tools Manage an app's state with Streams and the BLoC pattern Build a simple web application using Flutter Web Who this book is for This book is for mobile developers and software developers who want to learn Flutter to build state-of-the-art mobile apps. …”

“…Later, you'll get up to speed with workload integrations, covering the Yammer business communications platform, before moving on to understand how to integrate Microsoft Stream with SharePoint, Teams, and Yammer. Finally, you'll learn to develop data governance and user adoption strategies. …”

“…What You'll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical adviceIntegrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and SparkUse StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processingUtilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processingTurbocharge Spark with Alluxio, a distributed in-memory storage platformDeploy big data in the cloud using Cloudera DirectorPerform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and SparkUnderstand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasksImplement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modelingStudy real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and MastercardWho This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics…”