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The Computer and Technologies eBooks Collection provides a core collection of latest in-demand eBooks in Computer Science and Advanced Technologies.

The collection consists of over 23,000 titles in specialty fields including Artificial Intelligence & Deep Learning, Big Data, Internet of Things, Cloud Computing, Cyber Security, Gaming Development, etc.
Many of these books are written by authoritative industry practitioners who are leading the frontier in their respective specialty fields.
 
EBA titles available : 8,000+     |     Non EBA titles available : >15,000
Over  1,600  NEW titles available         
Live longer with AI :
how artificial intelligence is helping us extend our healthspan and live better too
Woods, Tina
 
The book discusses the impact that AI has on understanding the cellular basis of aging and how our genes are influenced by our environment – with the pandemic highlighting the interconnectedness of human and planetary health.
Statistics for HCI :  making sense of quantitative data
Dix, Alan
 
Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.
Machine learning : a journey to deep learning with exercises and answers
Wichert, Andreas; Sa-Couto, Luis\
 
This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.
The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.
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