Machine learning

Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on.

This book presents a complete overview of the main EEG-based Brain-Computer Interface (BCI) paradigms and the related practical solutions for their design, prototyping, and testing.

Driving 5G Mobile Communications with Artificial Intelligence towards 6G presents current work and directions of continuous innovation and development in multimedia communications with a focus on services and users.

Driving 5G Mobile Communications with Artificial Intelligence towards 6G presents current work and directions of continuous innovation and development in multimedia communications with a focus on services and users.

In today's era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach.

Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans.

Amazon Web Services (AWS) provides on-demand cloud computing platforms and application programming interfaces (APIs) to individuals, companies, and govern- ments, along with distributed computing processing capacity and software tools via AWS server farms.

Hybrid Computational Intelligent Systems - Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.

Hybrid Computational Intelligent Systems - Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models.

Based on the syllabus of the actuarial profession courses on general insurance pricing - with additional material inspired by the author's own experience as a practitioner and lecturer - Pricing in General Insurance, Second Edition presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate.

Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving.

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.

The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely.

This book illustrates how data can be useful in solving business problems.

This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner.

Solve SEO problems using data science.

This Element provides theoretical and practical introductions to machine learning for social scientists in applying it to experimental data.

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services.

The aim of this book is to present and analyse theoretical advances and also emerging practical applications of swarm and evolutionary intelligence.

This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems.

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software.

Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics.

The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R.

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions.

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions.

This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications.

Flight Mechanics Modeling and Analysis comprehensively covers flight mechanics and flight dynamics using a systems approach.

Flight Mechanics Modeling and Analysis comprehensively covers flight mechanics and flight dynamics using a systems approach.

This book addresses the growing need for machine learning and data mining in neuroscience.

In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process.

This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications.

This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making.

Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology.

This textbook introduces linear algebra and optimization in the context of machine learning.

The 21st century is on the verge of a possible total economic and political revolution.

Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectivelyKey FeaturesBuild, train and run machine learning models in the browser using TensorFlow.

Leverage the power of deep learning and Keras to develop smarter and more efficient data modelsKey FeaturesUnderstand different neural networks and their implementation using KerasExplore recipes for training and fine-tuning your neural network modelsPut your deep learning knowledge to practice with real-world use-cases, tips, and tricksBook DescriptionKeras has quickly emerged as a popular deep learning library.

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and DeepnetKey FeaturesUnderstand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problemImprove models using parameter tuning, feature engineering, and ensemblingApply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domainsBook DescriptionDeep learning enables efficient and accurate learning from a massive amount of data.

The next generation of AI is hereuse it to lead your business forward.

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing.

There is a limited understanding amongst scientists, students, and the public about realizing trust in scientific findings.

There is a limited understanding amongst scientists, students, and the public about realizing trust in scientific findings.

Disruption resulting from the proliferation of AI is coming.

This book covers both classical and modern models in deep learning.

This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management.

This reference text helps us understand how the concepts of explainable artificial intelligence (XAI) are used in the medical and healthcare sectors.

Augmenting Public Relations examines how existing technologies used in Public Relations (PR) are being significantly augmented because of the advent of Artificial Intelligence (AI).

This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics.