Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models. The authors use task oriented descriptions and concrete end-to-end examples to ensure that the reader can immediately begin using this new service. The book describes all aspects of the service from data ingress to applying machine learning, evaluating the models, and deploying them as web services. Learn how you can quickly build and deploy sophisticated predictive models with the new Azure Machine Learning from Microsoft. What’s New in the Second Edition? Five new chapters have been added with practical detailed coverage of: Python Integration – a new feature announced February 2015 Data preparation and feature selection Data visualization with Power BI Recommendation engines Selling your models on Azure Marketplace
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models. You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies have pursued ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get up to speed on the field of weak supervision, including ways to use it as part of the data science process Use Snorkel AI for weak supervision and data programming Get code examples for using Snorkel to label text and image datasets Use a weakly labeled dataset for text and image classification Learn practical considerations for using Snorkel with large datasets and using Spark clusters to scale labeling
Microsoft Azure HDInsight is Microsoft’s 100 percent compliant distribution of Apache Hadoop on Microsoft Azure. This means that standard Hadoop concepts and technologies apply, so learning the Hadoop stack helps you learn the HDInsight service. At the time of this writing, HDInsight (version 3.0) uses Hadoop version 2.2 and Hortonworks Data Platform 2.0. In Introducing Microsoft Azure HDInsight, we cover what big data really means, how you can use it to your advantage in your company or organization, and one of the services you can use to do that quickly–specifically, Microsoft’s HDInsight service. We start with an overview of big data and Hadoop, but we don’t emphasize only concepts in this book–we want you to jump in and get your hands dirty working with HDInsight in a practical way. To help you learn and even implement HDInsight right away, we focus on a specific use case that applies to almost any organization and demonstrate a process that you can follow along with. We also help you learn more. In the last chapter, we look ahead at the future of HDInsight and give you recommendations for self-learning so that you can dive deeper into important concepts and round out your education on working with big data.
Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you’ll learn how to apply automated machine learning (AutoML), a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology. Building machine-learning models is an iterative and time-consuming process. Even those who know how to create ML models may be limited in how much they can explore. Once you complete this book, you’ll understand how to apply AutoML to your data right away. Learn how companies in different industries are benefiting from AutoML Get started with AutoML using Azure Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning Understand how data analysts, BI professions, developers can use AutoML in their familiar tools and experiences Learn how to get started using AutoML for use cases including classification, regression, and forecasting.
Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI? Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll Learn Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving Discover the options for training and operationalizing deep learning models on Azure Who This Book Is For Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.
Build and manage data integration solutions with expert guidance from the Microsoft SQL Server Integration Services (SSIS) team. See best practices in action and dive deep into the SSIS engine, SSISDB catalog, and security features. Using the developer enhancements in SQL Server 2012 and the flexible SSIS toolset, you’ll handle complex data integration scenarios more efficiently—and acquire the skills you need to build comprehensive solutions. Discover how to: Use SSIS to extract, transform, and load data from multiple data sources Apply best practices to optimize package and project configuration and deployment Manage security settings in the SSISDB catalog and control package access Work with SSIS data quality features to profile, cleanse, and increase reliability Monitor, troubleshoot, and tune SSIS solutions with advanced features such as detailed views and data taps Load data incrementally to capture an easily consumable stream of insert, update, and delete activity
A Peranakan Legacy captures the rich heritage of a fast disappearing way of life and put on record many traditions and practices which were previously handed only down from generation to generation. The term ‘Baba’ is used to refer to the Straits-born Chinese or Peranakans. The Babas boast a unique culture and way of life that is an amalgamation of Chinese and Malay customs and etiquette. Their culture is perhaps best captured in the beautiful clothing, stunning jewellery, pretty porcelain and other artefacts used in daily living. Girls were taught, from a young age, how to cook a variety of elaborate meals as well as crafts such as beading and embroidery. The result is a rich legacy of splendid kebayas (embroidered blouses), beadwork and various other items. Through lavish, full-colour photographs of Peranakan artefacts and clothing, this book explains the origins of the various customs and traditions. While some customs are still practiced today, other more complicated ones have disappeared as modern babas adapted to contemporary lifestyles which are deemed more convenient and practical.
Samosir and Wee examine how the immensely popular Korean Wave ("K-wave") also known as Hallyu is wielded as soft power through the use of communication for persuasion and attraction on the global stage. The Korean Wave refers to the global spread and popularity of South Korean culture, particularly its pop music ("K-pop"), serialised dramas ("K-dramas") and films ("K-films"). Given the South Korean government’s involvement in providing funding and publicity, the Korean Wave raises interesting sociolinguistic questions about the relationship between artistry and citizenship, the use of social media in facilitating the consumption of cultural products, and, ultimately, the nature of soft power itself. Studies of soft power have tended to come from the field of international relations. This book shows that sociolinguistics actually has a number of tools in its conceptual arsenal – such as indexicality, stance taking, affect, and styling – that can shed light on the Korean Wave as a form of soft power. As the first book-length sociolinguistic analysis of the Korean Wave and soft power, this book demonstrates how K-pop, K-dramas, and K-films have been able to encourage in consumers an anthropological stance towards all things Korean. This volume will be of particular interest to students and scholars in sociolinguistics, political science, cultural studies, and Korean studies.
Growing Up in a Nonya Kitchen provides a rare and insightful view into the daily life of a Peranakan family harking back to the early 20th century. With comprehensive chapters dedicated to documenting cooking utensils, essential ingredients, the Nonya’s agak agak (estimating) philosophy, as well as Chinese New Year and other festive dishes, baked goods and Nonya kuehs, Growing Up in a Nonya Kitchen is a volume to read and treasure for anyone looking for an in-depth understanding of the Peranakan (and Singapore) food heritage. Note to readers: This is a newly uploaded ebook file for 2021, that corrects formatting issues
This is the second volume in the series of proceedings from the International Workshop on Life Science Grid. It represents the few, if not the only, dedicated proceedings volumes that gathers together the presentations of leaders in the emerging sub-discipline of grid computing for the life sciences.The volume covers the latest developments, trends and trajectories in life science grid computing from top names in bioinformatics and computational biology: A Konagaya; J C Wooley of the National Science Foundation (NSF) and DoE thought leader in supercomputing and life science computing, and one of the key people in the NSF CIBIO initiative; P Arzberger of PRAGMA fame; and R Sinnott of UK e-Science.
Selected Topics in Nanoscience and Nanotechnology contains a collection of papers in the subfields of scanning probe microscopy, nanofabrication, functional nanoparticles and nanomaterials, molecular engineering and bionanotechnology. Written by experts in their respective fields, it is intended for a general scientific readership who may be non-specialists in these subjects, but who want a reasonably comprehensive introduction to them. This volume is also suitable as resource material for a senior undergraduate or introductory graduate course in nanoscience and nanotechnology.The review articles have been published in journal COSMOS Vol 3 & 4.
Nanotechnology is one of the most important growth areas of this century. This book aims to introduce the various basic principles and knowledge needed for students to understand science at the nanoscale.--[book cover].
An adventurous tale where a group of Eastern and Western righteous youths join forces to protect commoners from the powerful evil realm! The Celestial Zone X is set during the war of a Western period. Besides exciting fighting scenes between good and evil, there are also kinship, friendship and love stories between different characters. These touching stories are sure to touch your heartstrings. The breakthrough creativity in The Celestial Zone X will definitely bring you into new realms of imagination of the Eastern and Western cultures! In The Celestial Zone X Vol. 19, Xing Ling discovers Chi Xue's weakness and inflicts her with serious injuries. However, a sudden change in Chi Xue's blood may spell a surprising turn of events...
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models. You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies have pursued ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get up to speed on the field of weak supervision, including ways to use it as part of the data science process Use Snorkel AI for weak supervision and data programming Get code examples for using Snorkel to label text and image datasets Use a weakly labeled dataset for text and image classification Learn practical considerations for using Snorkel with large datasets and using Spark clusters to scale labeling
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