Peter F. Stadler & Christopher R. Stephens 
Foundations of Genetic Algorithms [PDF ebook] 
9th International Workshop, FOGA 2007, Mexico City, Mexico, January 8-11, 2007, Revised Selected Papers

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs) . DNNs are currently widely used for many artificial in …

Virtual and extended reality technologies have come a long way since their inception, and today, they are poised to change how we work, learn, and interact with the world. From gaming and entertainme …

Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions.Thi …

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An ideal reference source for CEOs, marketing and sales managers, sales consultants, and students of international marketing, Guide to Software Export provides a step-by-step approach to initiating o …

<p><b>Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as Post GIS and QGIS</b>&lt …

The second edition of "Machine Learning for Beginners" addresses key concepts and subjects in machine learning. The book begins with an introduction to the foundational principles of machin …

This book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance. It will teach the readers optimization at each step, whether it is …

"Think AI" is a rapid-learning book that covers a wide range of Artificial Intelligence topics, including Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. …