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Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

An Elementary Introduction to Mathematical Finance
An Elementary Introduction to Mathematical Finance

This textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. Assuming no prior knowledge of probability, Sheldon M. Ross offers clear, simple explanations of arbitrage, the Black-Scholes option pricing formula,...

Mathematical Programming: Theory and Methods
Mathematical Programming: Theory and Methods
This book is a result of my teaching mathematical programming to graduate students of the University of Delhi for over thirty years. In preparing this book, a special care has been made to see that it is self-contained and that it is suitable both as a text and as a reference.

The book is divided in three parts.
...
Introduction to Probability and Stochastic Processes with Applications
Introduction to Probability and Stochastic Processes with Applications

An easily accessible, real-world approach to probability and stochastic processes

Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...

Probability Theory: A Comprehensive Course (Universitext)
Probability Theory: A Comprehensive Course (Universitext)

This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils...

Structured Finance Modeling with Object-Oriented VBA (Wiley Finance)
Structured Finance Modeling with Object-Oriented VBA (Wiley Finance)
Praise for STRUCTURED FINANCE MODELING with Object-Oriented VBA

"This book is an excellent and interesting integration of financial engineering, structured finance, and structured programming, and the book accomplishes this with easy-to-follow examples, using the most commonly available tools, MS VBA and spreadsheets. The author is clearly...

The Investopedia Guide to Wall Speak: The Terms You Need to Know to Talk Like Cramer, Think Like Soros, and Buy Like Buffett
The Investopedia Guide to Wall Speak: The Terms You Need to Know to Talk Like Cramer, Think Like Soros, and Buy Like Buffett
Have you ever used a stochastic oscillator?

Does your portfolio have spiders in it?

Do you really know what a derivative is?

From the creators of one of today’s most popular investing Web sites, The Investopedia Guide to Wall Speak...

A First Course in Stochastic Models
A First Course in Stochastic Models
The teaching of appliedprobability needs a fresh approach. The fieldof applied probability has changedprofound ly in the past twenty years andyet the textbooks in use today do not fully reflect the changes. The development of computational methods has greatly contributed to a better understanding of the theory. It is my conviction that theory is...
Reliability Engineering: Theory and Practice
Reliability Engineering: Theory and Practice

This book shows how to build in, evaluate, and demonstrate reliability and availability of components, equipment, systems. It presents the state-of-the-art of reliability engineering, both in theory and practice, and is based on the author's more than 30 years experience in this field, half in industry and half as Professor of Reliability...

Stochastic Modeling and Analysis of Telecoms Networks
Stochastic Modeling and Analysis of Telecoms Networks

This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison of systems.
The authors propose a
...

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....

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