Machine learning

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.

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.

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

Learn how cutting-edge AI and data science techniques are integrated in financial markets from leading experts in the industry.

This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways.

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)-aided IoT solutions for business and production.

The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition - a task that humans perform routinely and effortlessly in our daily lives - still poses great challenges, especially in unconstrained conditions.

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4.

This book will show how generative technology works and the drivers.

The world stands at a pivotal moment due to the emergence of Generative AI, specifically ChatGPT.

Electronic device usage has increased considerably in the past two decades.

This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.