Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide About This Book …
Information Theory and Statistical Learning presents theoretical and practical results about information theoretic methods used in the context of statistical …
""Embark on a comprehensive journey through the fundamentals of statistical learning theory with 'An Elementary Introduction to Statistical Learning Theory' …
instructor's manual officially retrieved off MIT Press -- if you ever find errors in it (there might be some), blame …
Scope of this Text This text is intended to provide the reader with an introduction to the analysis of numeri …
The development of self-operating machines is the foundation of modern manufacturing. This current manufacturing environment is based on automation and …
An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical …
Transformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial …
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production …
Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and …
Robotic welding systems have been used in different types of manufacturing. They can provide several benefits in welding applications. The …
Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through …
This book provides an ideal guide for Python developers who want to learn how to build applications with large language …
Use LLMs to build better business software applications Autonomously communicate with users and optimize business tasks with applications built to …
Responsible AI in the Enterprise is a comprehensive guide to ethical, transparent, and compliant AI systems, covering key concepts, tools, …
HUMAN COMMUNICATION TECHNOLOGYA unique book explaining how perception, location, communication, cognition, computation, networking, propulsion, integration of federated Internet of Robotic …
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, …
Both the Turing test and the frame problem have been significant items of discussion since the 1970s in the philosophy …
My goal here is for something that is partly a tutorial and partly a reference book. I like how tutorials …
Have you ever thought about the fact that you did not exist before you were conceived and then born into …
Robotics contains elements of mechanical engineering, electrical engineering, and computer science. One of the challenges in reading a robotics text …
In 1984, N. Karmarkar published a seminal paper on algorithmic linear programming. During the subsequent decade, it stimulated a huge …
Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in …
Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This …
Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of …
This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent …
This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on Theoretical Foundations of Computer Vision, held in …
This book offers a clear and comprehensive introduction to the field of evolutionary computation: the use of evolutionary systems as …
Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised …
nlock AI Mastery with Our Comprehensive 2-in-1 Guide Curious about artificial intelligence but unsure where to start? Our dual book …
Minds and Machines: Connectionism and Psychological Modeling examines different kinds of models and investigates some of the basic properties of …
""Embark on a comprehensive journey to unravel the mystique of statistical learning with "An Introduction to Statistical Learning" by It-eBooks. …
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and ProductsLarge Language Models (LLMs) like ChatGPT are demonstrating …
This book outlines a social theory of knowledge for the 21st century. With characteristic subtlety and verve, Steve Fuller deals …
Through a series of studies, the overarching aim of this book is to investigate if and how the digitalization/digital transformation …
Master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide Overview …
This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, …
It is during the nineteenth-century, the age of machinery, that we begin to witness a sustained exploration of the literal …
Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze …
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