A Few Things I Know About Her: A Personally Machine Learning Inspired Approach to Understand Surrounding Nature

This book reconsiders key issues in data analytics, such as description and explanation, and provides computational tools for describing and understanding data from our surroundings, such as climate parameters or stock market trends. It also provides scientific tools for analyzing the benefits and drawbacks of the modern paradigm of the world as a service.

Format: Paperback / softback
Length: 198 pages
Publication date: 04 April 2023
Publisher: Springer Nature Switzerland AG

This book delves into fundamental aspects of data analytics, challenging prevailing notions such as the existence of the soul. Once liberated from this cumbersome roommate, we are left with intricate biological systems: ourselves, tasked with configuring our environment in terms of worlds that align with our sensory perceptions. Rather than offering yet another cosmogony, this book presents computational tools for describing and comprehending data originating from our surroundings, encompassing climate parameters, stock market trends, and even the triumphs and defeats of our beloved son's football team. Beyond the superposition of countless universes contemplated by quantum mechanics, our goal is to manage families of worlds that may have generated these data through the key characteristic of their compatibility. We begin by engineering ourselves in terms of pairs consisting of a genome and a neuron ensemble, exploring this feature within diverse cognitive frameworks, ranging from probability distributions to the latest advancements in machine learning. From the perspective of human society as an ensemble of these pairs, the book also offers scientific methodologies for analyzing the advantages and disadvantages of the modern paradigm of the world as a service.

Weight: 338g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030943813
Edition number: 1st ed. 2022