Machine learning

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts.

Deep Learning: A Comprehensive Guide provides comprehensive coverage of Deep Learning (DL) and Machine Learning (ML) concepts.

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities.

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities.

Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data.

Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry.

Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life.

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis.

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis.

Cyberspace is changing the face of crime.

This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science.

This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science.

This book provides an integrated solution for security and safety in the home, covering both assistance in health monitoring and safety from strangers/intruders who want to enter the home with harmful intentions.

This book collates the key security and privacy concerns faced by individuals and organizations who use various social networking sites.

This book collates the key security and privacy concerns faced by individuals and organizations who use various social networking sites.

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics.

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics.

Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas.

Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas.

This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications.

This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications.

Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language.

Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language.

This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues.

This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues.

COVID-19, a novel coronavirus pandemic has disrupted our society in many ways.

COVID-19, a novel coronavirus pandemic has disrupted our society in many ways.

Advanced materials are essential for economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare.

Advanced materials are essential for economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare.

What is computational creativity?

What is computational creativity?

Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action.

Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action.

Engineering analytics is becoming a necessary skill for every engineer.

Engineering analytics is becoming a necessary skill for every engineer.

This book offers a comprehensive, authoritative, and accessible introduction to journalistic transparency.

Technology is moving at an exponential pace in this era of computational intelligence.

Technology is moving at an exponential pace in this era of computational intelligence.

Data science revolves around two giants: Big Data analytics and Deep Learning.

Data science revolves around two giants: Big Data analytics and Deep Learning.

Most of the business sectors consider the Digital Twin concept as the next big thing in the industry.

Most of the business sectors consider the Digital Twin concept as the next big thing in the industry.

Data science is an emerging field and innovations in it need to be explored for the success of society 5.

Data science is an emerging field and innovations in it need to be explored for the success of society 5.

This book offers a comprehensive, authoritative, and accessible introduction to journalistic transparency.

Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning, and artificial intelligence for physicists looking to integrate these techniques into their work.

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis.

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines.

This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects.