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Statistical Data Mining Using SAS Applications

fast and effectively. New to the Second Edition-General Features Access to SAS macros directly from desktop Compatible with;

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SAS Essentials

Presenting a straightforward introduction from the ground up, SAS (R) Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS;

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Numerical Methods in Geotechnical Engineering

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

Learning SAS® by Example: A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics;

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SAS for R Users

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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Introduction to Deep Learning Business Applications for Developers

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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Carpenter's Complete Guide to the SAS Macro Language, Third Edition

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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Practical MATLAB Deep Learning

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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Practical MATLAB Deep Learning

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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Deep Excavations in Soil

and computational numerical methods. It is heavily illustrated with practical applications and case histories for practising engineers, and;

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Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;

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Elementary Linear Algebra with Applications

This edition strives to develop students' geometric intuition as a foundation for learning the concepts of span and linear independence;

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Numerical Semigroups and Applications

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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Deep Learning with Applications Using Python

required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing;

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SAS for Mixed Models, Second Edition

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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Python Deep Learning

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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Numerical Python

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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Deep Learning with TensorFlow 2 and Keras

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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Deep Learning with Python

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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Common Statistical Methods for Clinical Research with SAS Examples, Third Edition

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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Common Statistical Methods for Clinical Research with SAS Examples, Third Edition

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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Deep Learning for Data Analytics

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

Learning SAS® by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics;

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Advanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;

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Deep Learning and IoT in Healthcare Systems

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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