Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!...Loe edasi...
(Ilmumisaeg: 24-Jun-2025, Hardback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119429630)
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
Implement a data-driven investment strategy The investing landscape is increasingly driven by big data and artificial intelligence. For most finance professionals, big data, statistics, and programming are outside their comfort zone....Loe edasi...
The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration. Grid Square statistics is a techniqu...Loe edasi...
Presenting a cutting-edge critical analysis of how data, algorithms and surveillance are changing the face of contemporary higher education, this open access book explores the role of big data and learning analytics to provide new insights into th...Loe edasi...
Advancements in the technology and availability of data sources have led to the `Big Data era. Working with large data offers the potential to uncover more fine-grained patterns and take timely and accurate decisions, but it also creates a lot of...Loe edasi...
This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and entrepreneurship are effective in resolving bu...Loe edasi...
Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts...Loe edasi...
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its ap...Loe edasi...
Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensional data). Unlike the various technical guides currently on the market, this book provid...Loe edasi...
In the era of Big Data, distributional data is becoming more prevalent. This book presents a synthesis of research in this area over the last twenty years. It has been carefully edited to ensure it is consistent with respect to style, level, notati...Loe edasi...
The most fascinating and profitable subject of predictive algorithms is the human actor. Analysing big data through learning algorithms to predict and pre-empt individual decisions gives a powerful tool to corporations, political parties and the stat...Loe edasi...
Understanding the significance of data analytics is paramount for digital transformation but in many organisations they are separate units without fully aligned goals. As organisations are applying digital transformations to be adaptive and agile in...Loe edasi...
Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile...Loe edasi...
This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and fa...Loe edasi...
Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where tradit...Loe edasi...
