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Recent Advances in Chaotic Systems and Synchronization: From Theory to Real World Applications is a major reference... Read More >>
Se dice que si llenáramos el universo observable con un número infinito de monos en máquinas de escribir infinitas... Read More >>
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Developers struggle to find an easy to follow learning resource for implementing Recurrent Neural Network(RNN) models.... Read More >>
The following workshops are included in this volume: Emp-ER: Empirical Methods in Conceptual Modeling, MoBiD: Modeling... Read More >>
Data analysis is a part of computer science and part statistics. An important part of data analysis is validating... Read More >>
Lernen Sie in diesem Buch alles über das komplexe Thema der Tabellenkalkulation und erweitern Sie Ihren bisherigen... Read More >>
"If you want to learn about Deep Learning then keep reading... It's said that filling the observable universe with... Read More >>
Data analysis is crucial to accurately predict the performance of an application. The book begins by getting you... Read More >>
Data Science, sometimes known as methods of processing and analyzing massive data sets (Big Data), is a rapidly... Read More >>
This project considered baywide concepts that could reduce future flood risk exposure in Jamaica Bay while also... Read More >>
Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With... Read More >>
This book will give you a wide understanding of the principles that underpin layouts in Shiny applications. You... Read More >>
