This cutting-edge book presents the theory and practice of the Graph Model for Conflict Resolution (GMCR), which is used for strategically investigating disputes in any field to enable informed deci……続きを見る
著者:Giovanni Cerulli
出版社: Springer International Publishing
発売日: 2023年12月16日
This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and app……続きを見る
著者:Ranjit Biswas
出版社: Springer International Publishing
発売日: 2016年05月31日
The work in this book is based on philosophical as well as logical views on the subject of decoding the ‘progress’ of decision making process in the cognition system of a decision maker (be it a hum……続きを見る
This book shows how federated machine learning allows multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private. Traditional m……続きを見る
Artificial Intelligence may be the disruptive tech to influence our lives, but in the end, it has its own species to grow, so let us not take it as something we use and leaveKey features The book gi……続きを見る
The House Subcommittee on Intelligence and Counterterrorism hearing examined the role of artificial intelligence, or AI, in addressing counterterrorism content on social media platforms. "We all kno……続きを見る
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully r……続きを見る
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their ……続きを見る
This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are ……続きを見る
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car wi……続きを見る
Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep ……続きを見る
著者:Jean-pierre Fillard
出版社: World Scientific Publishing Company
発売日: 2016年12月12日
It is well known that every animal species obeys Darwin's law of evolution, which requires permanent adaptation of animals to their environment. To be precise, every species except man, who behaves ……続きを見る
Get to grips with key structural changes in TensorFlow 2.0
Key Features
Explore TF Keras APIs and strategies to run GPUs, TPUs, and compatible APIs across the TensorFlow ecosystem
Learn and impleme……続きを見る
Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker,……続きを見る
Are psychometric tests valid for a new reality of artificial intelligence systems, technology-enhanced humans, and hybrids yet to come? Are the Turing Test, the ubiquitous CAPTCHAs, and the various ……続きを見る
This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models. Starting from the model-based approach to Machine Learning,……続きを見る
This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - incl……続きを見る
Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how ……続きを見る
This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solutio……続きを見る
Build, scale, and deploy deep neural network models using the star libraries in Python About This Book • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras •……続きを見る
This book provides a broad and comprehensive overview of the existing technical approaches in the area of silent speech interfaces (SSI), both in theory and in application. Each technique is describ……続きを見る
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series ……続きを見る
Solve real-world data problems with R and machine learning
Key Features
Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond
Harness……続きを見る
My goal in this writing is to promote social consciousness and increase awareness and understanding of the “human condition” that we all share, and that ultimately binds us all in our future, and ou……続きを見る
This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medium level such as thresholding, enhance……続きを見る
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language proces……続きを見る
This is a technical overview of the field of adversarial machine learning which has emerged to study vulnerabilities of machine learning approaches in adversarial settings and to develop techniques ……続きを見る
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipl……続きを見る
Practical, hands-on solutions in Python to overcome any problem in Machine Learning About This Book • Master the advanced concepts, methodologies, and use cases of machine learning • Build ML applic……続きを見る
Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developer……続きを見る