Mathematics for Finance: An Introduction to Financial Engineering | Read More ... | Finding Dory (2016) HDTS x264 [Dual-Audio] [English + Hindi] - Downloadhub
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Think Stats
Think Stats

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

You'll work with a case study throughout the...

Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing
Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing
This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of...
The Compiler Design Handbook: Optimizations and Machine Code Generation, Second Edition
The Compiler Design Handbook: Optimizations and Machine Code Generation, Second Edition
Todays embedded devices and sensor networks are becoming more and more sophisticated, requiring more efficient and highly flexible compilers. Engineers are discovering that many of the compilers in use today are ill-suited to meet the demands of more advanced computer architectures.

Updated to include the latest techniques, The
...
Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization)
Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization)

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs).  EDAs have arisen as one of the most successful experiences in the application of machine learning methods in...

Haskell Financial Data Modeling and Predictive Analytics
Haskell Financial Data Modeling and Predictive Analytics

Haskell is one of the three most influential functional programming languages available today along with Lisp and Standard ML. When used for financial analysis, you can achieve a much-improved level of prediction and clear problem descriptions.

Haskell Financial Data Modeling and Predictive Analytics is a hands-on guide that...

Advances in Evolutionary Algorithms: Theory, Design and Practice
Advances in Evolutionary Algorithms: Theory, Design and Practice
The goal of this book is to develop efficient optimization algorithms to solve diverse real-world problems of graded difficulty. Genetic and evolutionary mechanisms have been deployed for reaching the goal.

This book has made five significant contributions in the realm of genetic and evolutionary computation (GEC).

Practical
...
Data Mining for Geoinformatics: Methods and Applications
Data Mining for Geoinformatics: Methods and Applications

The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of...

The Cosmic Microwave Background
The Cosmic Microwave Background
The cosmic microwave background (CMB) is the radiation left over from the Big Bang. Recent analysis of the fluctuations in this radiation has given us valuable insights into our Universe and its parameters. Examining the theory of CMB and recent developments, this textbook starts with a brief introduction to modern cosmology and its main successes,...
Digital Signal Processing: System Analysis and Design
Digital Signal Processing: System Analysis and Design

This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on...

A Probability Path (Modern Birkhäuser Classics)
A Probability Path (Modern Birkhäuser Classics)

Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead,...

Kalman Filtering: Theory and Practice Using MATLAB
Kalman Filtering: Theory and Practice Using MATLAB

From Reviews of the First Edition

"An authentic magnum opus worth much more than its weight in gold!"
IEEE Transactions on Automatic Control

The proven textbook on Kalman filtering—now fully updated, revised, and expanded

...

Advanced Image Processing in Magnetic Resonance Imaging (Signal Processing and Communications)
Advanced Image Processing in Magnetic Resonance Imaging (Signal Processing and Communications)
Magnetic Resonance (MR) imaging produces images of the human tissues in a noninvasive manner, revealing the structure, metabolism, and function of tissues and organs. The impact of this image technique in diagnostic radiology is impressive, due to its versatility and flexibility in joining high-quality anatomical images with functional...
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