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Author by : Sébastien Thomassey Languange Used : en Release Date : 2018-06-22 Publisher by : Springer ISBN : 9789811300806 File Size : 54,5 Mb Total Download : 652
This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application
Author by : Arjun Panesar Languange Used : en Release Date : 2019-02-04 Publisher by : Apress ISBN : 9781484237991 File Size : 53,6 Mb Total Download : 226
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to
Author by : Anand Deshpande Languange Used : en Release Date : 2018-05-22 Publisher by : Packt Publishing Ltd ISBN : 9781788476010 File Size : 40,9 Mb Total Download : 494
Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With t