Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication.
Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication.
Computer-Assisted Diagnostics (CAD) using Convolutional Neural Network (CNN) model has become an important technology in the medical industry, improving the accuracy of diagnostics.
This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata.
This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata.
Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data.
Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data.
Rising concern about climate change and strong societal expectations with increasing complexities of mineral deposits being mined, call for more innovative exploration and exploitation technologies with higher productivity and recovery including eco-friendly strategies and policies in place for long term sustainability of the mineral Industry.
Decision Support Systems (DSSs) are Software and Information Systems which make use of various data and business models, employ advanced data analytics procedures, and access extensive databases and data warehouses to facilitate with a decision process or with organizational issues.
This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications.
This book delves into the complex intersection between artificial intelligence and human rights violations, shedding light on the far-reaching implications within the framework of discrimination and the pivotal role equality bodies play in combatting these issues.
This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field.
This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field.
This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing and Communication (ICICC 2023), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 17-18, 2023.
This book includes high-quality research papers presented at the Sixth International Conference on Innovative Computing and Communication (ICICC 2023), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 17-18, 2023.
This book delves into the complex intersection between artificial intelligence and human rights violations, shedding light on the far-reaching implications within the framework of discrimination and the pivotal role equality bodies play in combatting these issues.
This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications.
Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint.
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy.
This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy.
This book has a multidisciplinary approach to Metaverse studies and the relevance of Metaverse with the current and popular topics that concern society and how it will change them in the future.
The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence.
This book has a multidisciplinary approach to Metaverse studies and the relevance of Metaverse with the current and popular topics that concern society and how it will change them in the future.
Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation.
The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence.
This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India.
This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India.
This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India.
This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.
A smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem for high-quality results at reduced costs and little human intervention.
All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way.
All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way.
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.
