This book does two things: First, it explains the concept of many model thinking in which a thinker utilizes a library of models (never just one) to understand real world dynamics and events. Second, it provides a library of models to do so. After reading, the book serves as a toolbelt of models that can be used to analyze countless situations across essentially any domain.
"Correlation is not causation!" Yeah, we know... So then, what is causation? Traditional statistics has nervously shied away from this question in favor of merely recording data and their relationships. In this book, Judea Pearl discusses the Causal Revolution which he and his students began only a few decades ago. Pearl's approach to causation provides mathematical rigor to concepts that for centuries have been plagued with paradox, and as a result, has significantly impacted the worlds of Artificial Intelligence and Machine Learning.
A known staple for anyone interested in understanding thinking, whether in general or their own. Kahneman famously introduces the distinction between the two titular types of thinking and explains the benefits and limitations of both. Understanding them provides the reader with a better understanding of their own thought processes as well as others.
Bostrom is one of the world's leading experts on ethical and existential considerations of AI. This book provides a strong start to understanding how a superintelligence (AI that exponentially increases in power beyond humans) can occur and the various considerations to be had throughout this process.
P(H|E)=P(E|H)*P(H)/P(E), also known as Bayes' Theorem, holds a special place in many people's heart. They are known as Bayesians. To those people, the theorem simultaneously solves some of the deepest mysteries of philosophy, dissolves paradoxes in the foundations of science, and describes how a thinking mind ought to deal with evidence. And while not everyone agrees on these philosophical points, no one denies the practical impact of Bayes' Theorem on virtually every discipline that concerns statistics. However Bayes' Theorem had trouble ever coming to light. McGrayne explores the real history behind it, and how it had to prove its mettle in the most real world scenario possible: World War II.
Since Oppenheimer (2023) reminded us that we are all physicists in our spare time, you might be left needing to scratch the itch of engaging material coupled with a legitimate explanation of some of the most important and hardest concepts in physics. The Nobel laureate Lederman is not only an expert on the topic but also in the accessibility of his writing. Yes, by the end, you will understand why the Higgs boson is so important, and you won't have to do any math.
It's not uncommon for math and computer science focused people to ignore biology, or worse, demean it as an arbitrary recording of sloppy facts. However biology offers some of the most fascinating theoretical challenges - as well as tools for dealing with them - which turn out to be invaluable across all disciplines. Forty retraces the four billion year history of life on Earth in remarkable clarity, and in doing so reveals some of the most beautiful features of evolution. The reader is left with a deeper understanding of the natural world around them, as well as what "random" really means.
Strevens rejects the picture of the history of science as an ideal process of cleanly stated problems, and well-encompassing solutions. He goes well beyond the fact that science is built on failures, and observes the role that full irrationality has played in the process, calling it "strategic". He explores the foundational assumptions of the scientific process that have not stood the test of time and those that have. The book offers a realistic picture how science how become what it is and where it is heading now.
Mathematics was in an existential crisis. At the turn of the 20th century, mathematicians were panicking that their entire enterprise, the very field of mathematics, might crumble as a result of its own devises. Logicomix is a fun-to-read, semi-biographical graphic novel that traces the efforts of Bertrand Russell to build foundations of mathematics in logic while guarding against paradoxes. The results of his and others' efforts is not only a firm foundation of mathematics, but the building blocks for modern computers.
Critical thinking is forged out of necessity, and this is just as true for the panicle of critical thinking: formal logic. Shenefelt & White trace the history of logic from its discovery in Ancient Greece to its underpinning of modern computing. This book is an easy read that helps tie together historical, philosophical, and practical matters to provide the reader a more well-rounded grasp of perhaps the most important science there is.