This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling pro...Lasīt vairāk
Learning is an empirical phenomenon whereby people or organisations undergo a level of efficiency improvement with recurring tasks. Alan Jones pragmatic guide to this important element within estimating introduces two key learning curve models: Wr...Lasīt vairāk
This book aims to explore and define the transformative potential of modern technology in the educational landscape. One of its primary objectives is to examine how remote experimentation tools can provide students with practical, hands-on learning...Lasīt vairāk
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...Lasīt vairāk
(Izdošanas datums: 01-Feb-2025, Other book format, Izdevniecība: Bloomsbury Academic, ISBN-13: 9781350281615)
This open access book takes an innovative and critical look at the ways in which digital data and algorithms are changing the face of higher education in multiple ways. It examines their impact at both the macro scale of universities an...Lasīt vairāk
Handbook of Statistical Analysis: AI and ML Applications, Third Edition, is a comprehensive introduction to all stages of data analysis, model building and implementation, and useful to students and professionals across a variety of fields...Lasīt vairāk
Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data dri...Lasīt vairāk
Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data dri...Lasīt vairāk
This book provides a conceptual introduction to regression and machine learning and its applications in education research. The book discusses its diverse applications, including its role in predicting future events based on the current data or expl...Lasīt vairāk
This book provides a conceptual introduction to regression analysis and machine learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current dat...Lasīt vairāk
This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For eas...Lasīt vairāk
This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (excited) random walks, convergence and mixi...Lasīt vairāk
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...Lasīt vairāk
