The primary objective of this book is to provide an in-depth exploration of the latest advancements in data mining and machine learning. It aims to present readers with a comprehensive understanding of cutting-edge techniques that are shaping the fi...Loe edasi...
This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical S...Loe edasi...
Sari: Springer Proceedings in Mathematics & Statistics
(Ilmumisaeg: 21-Sep-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031513411)
In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn a...Loe edasi...
Get started with your data analysis career with in-depth explanations of key concepts, real-world applications, and career guidance Purchase of the print or Kindle book includes a free PDF eBook Key Features Conquer...Loe edasi...
Supply chain operations face many risks, including political, environmental, and economic. This book presents data mining and analytics tools with R programming as well as a brief presentation of Monte Carlo simulation that can be used to anticipa...Loe edasi...
In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machin...Loe edasi...
This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive,...Loe edasi...
Data has been called the “new oil” of the 21st Century economy, yet knowledge of how to harness and comprehend data is lagging. This book presents a comprehensive guide for undergraduate students and business practitioners to acquire the core comp...Loe edasi...
Data has been called the ‘new oil’ of the 21st-century economy, yet knowledge of how to harness and comprehend data is lagging. This book presents a comprehensive guide for university students and business practitioners to acquire the core compete...Loe edasi...
Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!...Loe edasi...
The book develops a view of AI rooted in the theories and values of Information Science (the social science of knowledge) focusing on whether AI is transforming knowledge access and creation in a significantly positive, equitable, inclusive and su...Loe edasi...
AI for Knowledge explores the question of whether artificial intelligence (AI) is transforming knowledge access and creation for the good. AI is accelerating our access to knowledge through search, recommendation, summarisation, translati...Loe edasi...
What is data and how does it fit into data science? What does the field of data science cover? What is data analysis and what skills are involved? What does data analytics refer to in the context of data analysis and data science...Loe edasi...
Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and netw...Loe edasi...
Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new insights for analyzing (big) textual and netw...Loe edasi...
Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widesprea...Loe edasi...
Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widesprea...Loe edasi...
This book discusses various partitioning strategies tailored for traditional machine learning algorithms. It examines how data can be divided efficiently to enhance the performance and scalability of classic machine learning models. It explores ho...Loe edasi...
