




Multivariate Time Series Analysis: With R and Financial Applications
An accessible guide to the multivariate time series tools used in numerous realworld applications
Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...   The R Student Companion
R is the amazing, free, openaccess software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a studentoriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book...   Algorithms in Invariant Theory (Texts & Monographs in Symbolic Computation)
This book is both an easytoread textbook for invariant theory and a challenging research monograph that introduces a new approach to the algorithmic side of invariant theory. Students will find the book an easy introduction to this "classical and new" area of mathematics. Researchers in mathematics, symbolic computation,... 

MATLAB Guide
MATLAB is an interactive system for numerical computation that is widely used for teaching and research in industry and academia. It provides a modern programming language and problem solving environment, with powerful data structures, customizable graphics, and easytouse editing and debugging tools. This second edition of MATLAB Guide...   Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)
This new third edition has again been thoroughly revised, even though the
changes are not as extensive as in the second edition. Of course, the general
aims of the book have remained the same.
In particular, I have added some additional material, namely two new
sections concerning graphical codes (which provides a...   

Computational Physics: Problem Solving with Python
The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.
This upperdivision text provides an...   Python Unlocked
Key Features

Write smarter, bugfree, high performance code with minimal effort

Uncover the best tools and options available to Python developers today

Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively
  Deep Learning with Python: A Handson Introduction
Discover the practical aspects of implementing deeplearning solutions using the rich Python ecosystem. This book bridges the gap between the academic stateoftheart and the industry stateofthepractice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often... 


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