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Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks
Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks
Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian
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Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation (Studies in Computational Intelligence)
Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation (Studies in Computational Intelligence)
This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models. It presents various methodologies used in teaching, the goal being to solve real-life problems by creating simulation models and probability distributions that allow correlations to be...
Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
"Quantum Computing without Magic gives a refreshing and down to earth approach to quantum information as well as quantum devices which will have a fundamental impact on the technology of the 21st century."
Raymond Laflamme, Canada Research Chair in Quantum Information, and Director, Institute for
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Space-Time Codes and MIMO Systems
Space-Time Codes and MIMO Systems
This book is intended to introduce space-time coding and multiantenna systems. The endeavor is to impart a working knowledge of the subject not just for students and researchers but for the entire wireless community.

The birth of multiantenna systems is the direct result of the long-standing struggle to achieve data rates without
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Probability and Statistics for Computer Scientists
Probability and Statistics for Computer Scientists

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic
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The Mathematics of Games and Gambling (Mathematical Association of America Textbooks)
The Mathematics of Games and Gambling (Mathematical Association of America Textbooks)
'The whole book is written with great urbanity and clarity ... it is hard to see how it could have been better or more readable.' The Mathematical Gazette

You can't lose with this MAA Book Prize winner if you want to see how mathematics can be used to analyze games of chance and skill. Roulette, craps, blackjack, backgammon,
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Stochastic World (Mathematical Engineering)
Stochastic World (Mathematical Engineering)

This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling....

Real-Life Math: Everyday Use of Mathematical Concepts
Real-Life Math: Everyday Use of Mathematical Concepts
"What does this have to do with real life?" is a question that plagues mathematics teachers across America, as students are confronted with abstract topics in their high school mathematics courses. The National Council of Teachers of Mathematics emphasizes the importance of making real world connections in teaching mathematics so that...
The Variational Bayes Method in Signal Processing
The Variational Bayes Method in Signal Processing
This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...
Quantum Information And Computing (Quantum Probability and White Noise Analysis)
Quantum Information And Computing (Quantum Probability and White Noise Analysis)
This volume constitutes the proceedings of the international conference on "Quantum Information 2003" held in Tokyo University of Science/Tokyo (Japan) from 1 to 3 November 2003, in International Institute for Advanced Studies/Kyoto (Japan) from 5 to 7 November 2003, in University of Waseda/Tokyo (Japan) from 29 to 31 October 2003, in...
Python Data Analysis Cookbook
Python Data Analysis Cookbook

Key Features

  • Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
  • Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
  • Authored by Ivan Idris, expert in python programming and proud...
Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of...
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