Geo.Engineerings

Brian Larson ... 544 pages - Publisher: McGraw-Hill Education; (December, 2019) ... Language: English - ISBN-10: 126045861X - ISBN-13: 978-1260458619.

Explore, create, and manage highly interactive data visualizations using Microsoft Power BI: Extract meaningful business insights from your disparate enterprise data using the detailed information contained in this practical guide. Written by a recognized BI expert and bestselling author, Data Analysis with Microsoft Power BI teaches you the skills you need to interact with, author, and maintain robust visualizations and custom data models. Hands-on exercises based on real-life business scenarios clearly demonstrate each technique. Publishing your results to the Power BI Service (PowerBI.com) and Power BI Report Server are also fully covered.

Paul W. McMullin, Jonathan S. Price, Esra Hasanbas Persellin ... 362 pages - Publisher: Routledge; (May, 2016) ... Language: English - ISBN-10: 1138829978 - ISBN-13: 978-1138829978.

Concrete Design covers concrete design fundamentals for architects and engineers, such as tension, flexural, shear, and compression elements, anchorage, lateral design, and footings. As part of the Architect’s Guidebooks to Structures Series it provides a comprehensive overview using both imperial and metric units of measurement. Written by experienced professional structural engineers Concrete Design is beautifully illustrated, with more than 170 black and white images, contains clear examples that show all design steps, and provides rules of thumb and simple tables for initial sizing. A refreshing change in textbooks for architectural materials courses, it is an indispensable reference for practicing architects and students alike. As a compact summary of key ideas it is ideal for anyone needing a quick guide to concrete design.

Robert Kozma, Cesare Alippi, Yoonsuck Choe, Francesco Carlo Morabito ... 352 pages - Publisher: Academic Press; (November, 2018) ... Language: English - ISBN-10: 0128154802 - ISBN-13: 978-0128154809.

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.