Data capture and analysis

Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook DescriptionMachine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications.

Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance datafrom how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences.

Understand, design, and create cognitive applications using Watson's suite of APIs.

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and DeepnetKey FeaturesUnderstand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problemImprove models using parameter tuning, feature engineering, and ensemblingApply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domainsBook DescriptionDeep learning enables efficient and accurate learning from a massive amount of data.

Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobsKey FeaturesWork with large amounts of agile data using distributed datasets and in-memory cachingSource data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3Employ the easy-to-use PySpark API to deploy big data Analytics for productionBook DescriptionApache Spark is an open source parallel-processing framework that has been around for quite some time now.

Advances in Imaging and Electron Physics merges two long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.

Advances in Imaging and Electron Physics merges two long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.

Advances in Imaging and Electron Physics merges two long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

"e;The book addresses a sorely missing set of considerations in the real world.

Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few.

Developing Web Information Systems brings together traditional system development methods that have been taught for many years on information systems and computer science courses with web/e-commerce development.

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability.

The Internet is quickly becoming the backbone for the worldwide information society of the future.

Large volumes of video content can only be easily accessed by the use of rapid browsing and retrieval techniques.

Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform.

LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) developed by National Instruments is a graphical programming environment.

An easy-to-understand synopsis of identification systems, presenting in simple language the process of fingerprint identification, from the initial capture of a set of finger images, to the production of a Rapsheet.

R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "e;Quantitative Chemistry"e; or sometimes "e;Analytical Chemistry"e;.

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government.

Advances in Imaging and Electron Physics merges two long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.

Responding to both the trend towards increasing online enrollments as the demand for face-to-face education declines, and to the immediate surge in remote learning owing to the COVID-19 pandemic, this book provides vital guidance to higher education institutions on how to develop faculty capacity to teach online and to leverage the affordances of an ever-increasing array of new and emerging learning technologies.

A fast paced guide that will help you to create, read, update and delete data using MongoDBKey FeaturesCreate secure databases with MongoDBManipulate and maintain your databaseModel and use data in a No SQL environment with MongoDBBook DescriptionMongoDB has grown to become the de facto NoSQL database with millions of users, from small start-ups to Fortune 500 companies.

Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming languageKey FeaturesUnderstand the basics of R and QGIS to work with GIS and remote sensing dataLearn to manage, manipulate, and analyze spatial data using R and QGISApply machine learning algorithms to geospatial data using R and QGISBook DescriptionManaging spatial data has always been challenging and it's getting more complex as the size of data increases.

This concise yet comprehensive guide shows developers and architects how to tackle data integration challenges with MuleSoft.