Bøger af Jean-Jacques Reibel

Providence is a collection of poems that question the universe, existence, and technology.

A collection of stories depicting outdoor activities from various locations and perspectives.

In this book, JJ covers various programming topics in Go, including: Go's BackgroundData Structures and AlgorithmsDatabases and NetworksApplied Machine Learning (and Deep Learning)CryptographyHackingBlockchain

This book is an introduction to hacking for educational purposes. It illustrates the basics of cyber attacks and covers topics in:

This book attempts to teach Swift Programming, from Novice to Expert. Topics covered include: SwiftFrameworks and APIsData Structures and AlgorithmsMathematicsData Science and Machine LearningIO and DatabasesCryptography and HackingNetworkingFast-running CodeBlockchain.... And more

This book offers an overview of computer science from a perspective that is accessible to those without an extensive technical background. While the field of computer science encompasses a vast array of complex topics and applications, this work endeavors to present these concepts in a clear and approachable manner. Through the exploration of various aspects of computer science, readers will gain a foundational understanding of this rapidly-evolving field, even in the absence of prior experience or technical expertise. This literary work is not intended to serve as a technical reference or manual for computer science subject matter.

Software engineering, in its essence, is the disciplined application of engineering principles to the development, operation, and maintenance of software systems. It involves a systematic approach that encompasses requirements analysis, design, coding, testing, and maintenance, ensuring the creation of reliable, scalable, and efficient software solutions. The unique aspect of software engineering lies in its emphasis on structured methodologies, collaboration, and adherence to best practices to deliver high-quality software that meets user needs and addresses real-world challenges.

This book is a comprehensive and sophisticated exploration of neural networks, encompassing their structure, engineering, theories, and potential. It delves into the advanced mathematics and sciences that form the foundation of these networks and those that could shape their future. The book explains how neural networks can be constructed and how they are capable of solving a wide range of complex scientific and mathematical problems.The author builds upon his previous book, Artificial Intelligence, and takes a deep dive into the challenges and abstract potentials of neural networks. This book is designed to provide readers with an in-depth understanding of the underlying principles of neural networks, including the intricate mathematics and scientific concepts that inform their design and functionality.This book is not meant to demonstrate modern application of neural networks, it is a compilation of rigorous and thorough analysis and theories of neural networks and artificial intelligence and is sure to inspire further research and innovation in this exciting and rapidly evolving field.