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This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies,... Læs mere
The papers are organized in topical sections named: social choice mechanisms in the... Læs mere
This second edition of The Digital Humanities Coursebook provides critical frameworks for the application of digital humanities tools and platforms, which have become an integral part of work across a wide range of disciplines.
Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated,... Læs mere
Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with... Læs mere
Practical Bioinformatics is designed as an introduction to bioinformatics sequence analysis. It contains many exercises such as database searches, protein analysis, and data... Læs mere
This book covers Big Data, Machine Learning, and Artificial Intelligences related technologies and how these technologies can enable design,... Læs mere
This book gives a complete overview of cloud computing, its importance, its trends, innovations, and its amalgamation with other technologies. It provides content for reference.
Handbook of Artificial Intelligence Applications for Industrial Sustainability examines the... Læs mere
The book brings a blend of different areas of Machine Learning and the recent advances in the area. From the use of ML in healthcare to security, the book encompasses several areas related to ML while keeping a check on the traditional ML algorithms.
This book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling.
mso-bidi-language: AR-SA;">This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical skills in data analysis.