Machine learning

This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics.

The dawn of AI agents is upon us.

This book provides an overview of AI-powered nutritional interventions for the management of Polycystic Ovary Syndrome (PCOS).

This book presents an extensive exploration of the latest trends in Unmanned Aerial Systems (UAS) technology and the boundless opportunities they offer.

The six-volume set, LNCS 15251-15256, constitutes the refereed proceedings of the 24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024, held in Macau, China, during October 29-31, 2024.

 Unlock the world of data science—no coding required.

This book includes peer-reviewed papers of the International Conference on 6G Communications Networking and Signal Processing-SGCNSP 2023.

This book constitutes the refereed proceedings of the 12th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2023, held in Norman, Oklahoma, USA, during December 11-13, 2023.

This Third Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field.

This book presents the need for Renewable Energy Technologies (RET) in the context of providing a solution for the depletion of conventional resources, protecting the environment and enhancing the economic situation of a country by way of providing employment opportunities for many people may be as employees in various roles or initiating their own enterprise.

Our physical world is grounded in three dimensions.

Generative Machine Learning Models in Medical Image Computing"e; provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging.

The success of predictive large language models (PLLMs) like GPT3 and ChatGPT has created both enthusiasts and skeptics of their widespread practical applications, but this book argues that the larger significance of such models is contained in what they suggest about human cognition.

This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and its Application, ICAIA 2023, held in Pune, India, during December 18–19, 2023.

Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain.

Traditional DevOps is struggling with new challenges in today's fast-changing software world.

There's little that can beat the perfect simplicity of a bike ride.

From award-winning author Benjamin Dean comes a deliciously dark and addictive YA thriller following the lives of Gen Z's rich and famous through the lens of an undercover teen journalist.

Im vorliegenden Buch soll eine praxisorientierte Einführung und ein aktueller Überblick darüber gegeben werden, was Data-Science und der Beruf Data-Scientist umfassen.

In the digital age, our personal data has become a valuable commodity, sought after by corporations, organizations, and governments alike.

Described by Rob Breszny, author or Pronoia, as "e;one of the best,"e; Dan Furst is internationally known as an expert on mythology, astrology, and prophecy.

This book offers a comprehensive look at the business environment in South Asia, particularly Bangladesh and Sri Lanka.

Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key FeaturesLearn how to apply machine learning techniques in the field of data scienceUnderstand when to use different data mining techniques, how to set up different analyses, and how to interpret the resultsA step-by-step approach to improving model development and performanceBook DescriptionMachine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data.

Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key FeaturesLearn how to apply machine learning techniques in the field of data scienceUnderstand when to use different data mining techniques, how to set up different analyses, and how to interpret the resultsA step-by-step approach to improving model development and performanceBook DescriptionMachine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data.