“…Rapid advances in artificial intelligence, Big Data, augmented reality, Internet of Medical Things, connected devices, robotics, and algorithms will revolutionize digital health in almost all fields of medicine in the future. …”

“…Organizations are eager to capitalize on real-time data analysis, move beyond batch processing for time-critical insights, and excel at big data in a predictable, reliable way. But performance has been an issue for distributed systems like Hadoop, especially when the use cases of a single cluster become multi-tenant or multi-workload. …”

“…Dramatically improve human capital management decisions by applying advanced analytics and "Big Data" technologies and processes! Pioneering HR technology expert James Sesil identifies widespread flaws in today's HR decision-making processes, and reveals how advanced analytics can help organizations make far more robust decisions about employee selection, performance management, strategy alignment, collaboration, and more. …”

“…Current and future challenges require greater care in creating new solutions that satisfy the rationality for each type of problem. Labels such as Big Data, Data Science, Machine Learning, Statistical Learning, and Artificial Intelligence are demanding more sophistication in the foundations and how they are being applied. …”

“…All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book! What You Will Learn Build dynamic workflows for scientific computing Leverage open source libraries to extract patterns from time series Write your own classification, clustering, or evolutionary algorithm Perform relative performance tuning and evaluation of Spark Master probabilistic models for sequential data Experiment with advanced techniques such as regularization and kernelization Dive into neural networks and some deep learning architecture Apply some basic multiarm-bandit algorithms Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters Apply key learning strategies to a technical analysis of financial markets In Detail The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. …”

“…One of the most common AI techniques used for processing big data is machine learning, a self-adaptive algorithm that gets increasingly better analysis and patterns with experience or with newly added data. …”

“…This explosion of customer data along with the growth and maturation of big data technologies have changed the priorities for B2C marketers -- to be able to reach and personalize messages to each customer. …”

“…Once you've got to grips with integration with Azure and streamlining big data pipelines, you'll learn best practices from industry experts for maintaining a highly reliable database solution. …”

“…Program faster with Scala's succinct and flexible syntax Dive into basic and advanced functional programming (FP) techniques Build killer big data and distributed apps, using Scala's functional combinators and tools including Akka and Spark Use traits for mixin composition and pattern matching for data extraction Learn the sophisticated type system that combines functional programming and object-oriented programming concepts…”

“…Explore the practical sides of REST to build data-centric applications with Node About This Video Work through a series of guidelines and best practices to efficiently design RESTful Web APIs with Node Understand the structure of APIs, their authentication protocols, and their implementation tools This practical guide provides the knowledge you need to delve into the endless possibilities enabled by Big Data In Detail RESTful Web APIs allow developers to create unprecedented applications by leveraging the data on the Internet. …”

“…Simply put, teams looking to apply collective intelligence and "big data" platforms to health and health care problems often don't appreciate the messy details of using and making sense of data in the heavily regulated hospital IT environment. …”

“…Companies such as GE, Cisco, IBM, and Siemens are looking to transform major cities through advanced computer technologies, sensors, high-speed data networks, predictive analytics, big data, and the IoT. But, as Mike Barlow explains in this O’Reilly report, the story goes beyond technology. …”

“…You'll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers. …”

“…This technology comes in handy, especially when handling Big Data. Today, companies collect and accumulate data at massive, unmanageable rates for website clicks, credit card transactions, GPS trails, social media interactions, and so on. …”

“…For decades, businesses have used information about their customers to make critical decisions on what to stock in inventory, which items to recommend to customers, and when to run promotions. But the advent of big data early in this century changed the game considerably. …”

“…Expressive visualization enables you to get beyond static charts to create multi-faceted views of data and explore every dimension. The rise of big data and the growing public awareness of its power has made this the moment for data visualization. …”

“…From Customer Journey Mapping to using Big Data, this is the ultimate Customer Experience manual for businesses, whatever the size of your company. …”

“…Duże zbiory danych dla każdego! W dobie Big Data klasyczne podejście do analizy danych nie przynosi już pożądanych wyników. …”

“…These are just a few of the leading companies who use Presto to query SQL on Hadoop at big data scale. This course provides an introduction to Presto. …”

“…Concrete examples provide practical guidance on strategy, business models, implementation considerations, privacy and ethics, and evolving trends related to Big Data, data analytics, machine learning, artificial intelligence, and more. …”