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fast and effectively. New to the Second Edition-General Features Access to SAS macros directly from desktop Compatible with;
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Presenting a straightforward introduction from the ground up, SAS (R) Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS;
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special section dedicated to the numerical modelling of ground improvement techniques, with applications of numerical methods for solving;
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Learning SAS® by Example: A Programmers Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics;
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in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage;
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for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and;
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his successful second edition of Carpenter's Complete Guide to the SAS Macro Language with an extensive collection of new macro language;
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Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;
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Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;
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and computational numerical methods. It is heavily illustrated with practical applications and case histories for practising engineers, and;
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This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;
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This edition strives to develop students' geometric intuition as a foundation for learning the concepts of span and linear independence;
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This book is an extended and revised version of Numerical Semigroups with Applications, published by Springer as part of the RSME series;
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required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing;
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The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities available for a variety of applications;
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second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high;
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like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to;
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Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;
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The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd;
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Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated;
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Glenn Walker and Jack Shostak's Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, is a thoroughly updated;
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and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics;
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Learning SAS® by Example, A Programmers Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics;
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This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;
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This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;
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