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Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

Build, train, and deploy intelligent applications using Java libraries

Key Features

  • Leverage the power of Java libraries to build smart applications
  • Build and train deep learning models for implementing artificial intelligence
  • Learn various algorithms to...
Fundamentals of Complex Analysis  with Applications to Engineering,  Science, and Mathematics (3rd Edition)
Fundamentals of Complex Analysis with Applications to Engineering, Science, and Mathematics (3rd Edition)
This book provides a comprehensive introduction to complex variable theory and its applications to current engineering problems and is designed to make the fundamentals of the subject more easily accessible to readers who have little inclination to wade through the rigors of the axiomatic approach. Modeled after standard calculus books--both in...
Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals
Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals

The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand....

Multiple Wiener-Itô Integrals: With Applications to Limit Theorems
Multiple Wiener-Itô Integrals: With Applications to Limit Theorems

The goal of this Lecture Note is to prove a new type of limit theorems for normalized sums of strongly dependent random variables that play an important role in probability theory or in statistical physics. Here non-linear functionals of stationary Gaussian fields are considered, and it is shown that the theory of Wiener–Itô...

Inverse Problem Theory and Methods for Model Parameter Estimation
Inverse Problem Theory and Methods for Model Parameter Estimation
‘Tarantola's book is undoubtedly the most important work on probabilistic inverse theory. It presents a complete theory where a physical parameter is represented, not by a number, but by a probability distribution.’ Klaus Mosegaard, Niels Bohr Institute

The use of actual observations to infer the properties of a
...
Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011
Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011

Over the last few decades, energy minimization methods have become an established paradigm to resolve a variety of challenges in the fields of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed a very limited...

Mathematical Methods for Physics and Engineering: A Comprehensive Guide
Mathematical Methods for Physics and Engineering: A Comprehensive Guide
From reviews of previous editions: '...a great scientific textbook. It is a tour de force ... to write mathematical sections that are both complete and at an appropriate academic level. The authors have clearly succeeded in this challenge, making this a remarkable pedagogical book ... The choice of exercises is excellent and possibly the best...
Multi-Objective Swarm Intelligent Systems: Theory & Experiences (Studies in Computational Intelligence)
Multi-Objective Swarm Intelligent Systems: Theory & Experiences (Studies in Computational Intelligence)
Recently, a new class of heuristic techniques, the swarm intelligence has emerged. In this context, more recently, biologists and computer scientists in the field of “artificial life” have been turning to insects for ideas that can be used for heuristics. Many aspects of the collective activities of social insects,...
Heuristic Search: Theory and Applications
Heuristic Search: Theory and Applications

Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as...

Wireframing Essentials (Community Experience Distilled)
Wireframing Essentials (Community Experience Distilled)

If you've ever wanted to be a User Experience (UX) designer, this book will give you a great head start. It's a comprehensive handbook to the core principles and leads you through design methodologies with many practical examples.

Overview

  • Get up to speed on the industry standard design...
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project
The last seven years have seen the field of artificial intelligence (AI) transformed. This transformation is not simple, nor has it yet run its course. The transformation has been generated by the emergence of expert systems. Whatever exactly these are or turn out to be, they first arose during the 1970s, with a triple claim: to be AI systems that...
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