Support Vector Machines (SVMs) are some of the most performant off-the-shelf, supervised machine-learning algorithms. In Support Vector Machines Succinctly, author Alexandre Kowalczyk guides readers through the building blocks of SVMs, from basic concepts to crucial problem-solving algorithms. He also includes numerous code examples and a lengthy b...
Production ergonomics - the science and practice of designing industrial workplaces to optimize human well-being and system performance - is a complex challenge for a designer. Humans are a valuable and flexible resource in any system of creation, and as long as they stay healthy, alert and motivated, they perform well and also become more competen...
This is an optimization manual for advanced C++ programmers. This book are not for beginners.
Topics include:
- The choice of platform and operating system.
- Choice of compiler and framework.
- Finding performance bottlenecks.
- The efficiency of different C++ constructs.
- Multi-core systems.
- Parallelization with vector operations.
- CPU dispa...
This open book provides a concise introduction to economic approaches and mathematical methods for the study of water allocation and distribution problems. Written in an accessible and straightforward style, it discusses and analyzes central issues in integrated water resource management, water tariffs, water markets, and transboundary water manage...
This open book draws on a multidimensional model of educational change, the book reviews the field of climate change education and identifies some of the areas in which past efforts have fallen short in supporting effective pedagogical change at scale. It then formulates an approach to engage university students and faculty in partnering with schoo...
This open book, like Rayleigh's classic Theory of Sound, focuses on experiments and on approximation techniques rather than mathematical rigor. The second edition has benefited from comments and corrections provided by many acousticians, in particular those who have used the first edition in undergraduate and graduate courses. For example, pha...
The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for...
This open book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots w...
This open book examines the multiple intersections between national and international courts in the field of investment protection, and suggests possible modes for regulating future jurisdictional interactions between domestic courts and international tribunals. The current system of foreign investment protection consists of more than 3,000 interna...
Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control - a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive...
Each chapter comprises a separate study on some optimization problem giving both an introductory look into the theory the problem comes from and some new developments invented by author(s). Usually some elementary knowledge is assumed, yet all the required facts are quoted mostly in examples, remarks or theorems....
The purpose of this book is to give you a thorough introduction to competitive programming. It is assumed that you already know the basics of programming, but no previous background in competitive programming is needed.
The book is especially intended for students who want to learn algorithms and possibly participate in the International Olympi...
The way a user might perceive and use data and the optimal way a computer system might store it are often very different. In this Database Design Succinctly, learn how to model the user's information into data in a computer database system in such a way as to allow the system to produce useful results for the end user. Joseph D. Booth will cov...
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.
Automated decision-making systems or decision-support systems - used in applications that range from aircraft collision avoidance to breast cancer screening - must be designed...
The world of machine learning is evolving so quickly that it's challenging to find real-life use cases that are relevant to your day-to-day work.
That's why we've created this comprehensive guide you can start using right away. Get everything you need - use cases, code samples and notebooks - so you can start putting the Databrick...