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Web as History: Using Web Archives to Understand the Past and the Present
Web as History: Using Web Archives to Understand the Past and the Present
The World Wide Web has now been in use for more than 20 years. From early browsers to today’s principal source of information, entertainment and much else, the Web is an integral part of our daily lives, to the extent that some people believe ‘if it’s not online, it doesn’t exist.’ While this statement is not...
Beginning SQL Server R Services: Analytics for Data Scientists
Beginning SQL Server R Services: Analytics for Data Scientists

Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an...

Java for Data Science
Java for Data Science
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is...
Field Guide to Lidar (SPIE Field Guide FG36)
Field Guide to Lidar (SPIE Field Guide FG36)
This Field Guide covers the various components and types of active electro-optical sensors referred to as lidars in the text from simple 2D direct-detection lidars to multiple subaperture synthetic aperture lidars. Other topics covered include receivers, apertures, atmospheric effects, and appropriate processing of different lidars....
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
The Art of Computer Programming, Volume 4, Fascicle 2: Generating All Tuples and Permutations
The Art of Computer Programming, Volume 4, Fascicle 2: Generating All Tuples and Permutations

Finally, after a wait of more than thirty-five years, the first part of Volume 4 is at last ready for publication. Check out the boxed set that brings together Volumes 1 - 4A in one elegant case, and offers the purchaser a $50 discount off the price of buying the four volumes individually.

3D Imaging in Medicine: Algorithms, Systems, Applications (Nato ASI Subseries F:)
3D Imaging in Medicine: Algorithms, Systems, Applications (Nato ASI Subseries F:)
The visualization of human anatomy for diagnostic, therapeutic, and educational pur­ poses has long been a challenge for scientists and artists. In vivo medical imaging could not be introduced until the discovery of X-rays by Wilhelm Conrad ROntgen in 1895. With the early medical imaging techniques which are still in use today, the...
Transforms and Applications Primer for Engineers with Examples and MATLAB® (Electrical Engineering Primer Series)
Transforms and Applications Primer for Engineers with Examples and MATLAB® (Electrical Engineering Primer Series)

Transforms and Applications Primer for Engineers with Examples and MATLAB® is required reading for engineering and science students, professionals, and anyone working on problems involving transforms. This invaluable primer contains the most essential integral transforms that both practicing engineers...

Optics: Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple® (Undergraduate Texts in Contemporary Physics)
Optics: Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple® (Undergraduate Texts in Contemporary Physics)

This new edition is intended for a one semester course in optics for juniors and seniors in science and engineering. It uses scripts from Maple, MathCad, Mathematica, and MATLAB to provide a simulated laboratory where students can learn by exploration and discovery instead of passive absorption. The text covers all the standard...

Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)
Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
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