Get an introduction to the visual design of GraphQL data and concepts, including GraphQL structures, semantics, and schemas in this compact, pragmatic book.
Successfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment.
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.
Discover how to set up core Dynamics 365 Customer Engagement functionality and learn how to build more customized processes on top of the standard capabilities.
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks.
Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.
Develop a comprehensive understanding of the evolving landscape of digital trade and finance, including the historical context and the transformative impact of technological innovations on traditional practices.
This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis.
