Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide About This Book …
""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 …
With .NET 5’s ML.NET and Programming ML.NET, any Microsoft .NET developer can solve serious machine learning problems, increasing their value …
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 …
The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of …
Transformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial …
Content:
Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and …
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 …
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 …
The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big …
Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of …
This book outlines the background and overall vision for the Internet of Things (IoT) and M2M communications and services, including …
★☆If you are looking to start a new career that is in high demand, then you need to continue reading!★☆ …
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 …
If you are curious about the basics of artificial intelligence, blockchain technology, and quantum computing as key enablers for digital …
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 …
"In an atmosphere of the uncontrolled pandemic of mediated lies, the attempted coup by seditionists in the U. S., and …
This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, …
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With …
Minds and Machines: Connectionism and Psychological Modeling examines different kinds of models and investigates some of the basic properties of …
Learn how to design and develop robotic process automation solutions with Blue Prism to perform important tasks that enable value …
ASP.NET is Microsoft's new technology for developing complex, interactive Web applications. This comprehensive guide takes C# programmers through all the …
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and ProductsLarge Language Models (LLMs) like ChatGPT are demonstrating …
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