The Art Of Thinking In Graphs Free Pdf Book
Download The Art Of Thinking In Graphs Free Pdf Book PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Art Of Thinking In Graphs Free Pdf Book book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
The Art of Thinking Clearly
OVER 3 MILLION COPIES SOLD Making better choices will transform your life at work, at home, forever If you want to lead a happier, more prosperous life, you don't need shiny gadgets, complicated ideas or frantic activity. You just need to make better choices. From why you should not accept a free drink to why you should keep a diary, from dealing with a personal problem to negotiating at work, The Art of Thinking Clearly is a simple, straightforward and always surprising guide to a better, smarter you. SEE HOW THE ART OF THINKING CLEARLY IS CHANGING READERS' LIVES 'Everyone in business should read this superb book' ⭐ ⭐ ⭐ ⭐ ⭐ 'I've read this book so many times I've lost count. Being a manager for many years it has been very useful in helping me help myself and others to think more rationally about different challenges and situations. Highly recommend it' ⭐ ⭐ ⭐ ⭐ ⭐ 'The concepts in this book are so smart and straightforward, you will kick yourself for not knowing and applying them in your life already' ⭐ ⭐ ⭐ ⭐ ⭐ 'Reading this book has helped me realise how much flaws I have in my thinking. It's a great read' ⭐ ⭐ ⭐ ⭐ ⭐ 'For those genuinely looking to build a better thinking and rationale and do not mind putting lots of effort to it then I find this the perfect book' ⭐ ⭐ ⭐ ⭐ ⭐ 'A book to shift your perception' ⭐ ⭐ ⭐ ⭐ ⭐ 'It definitely changed the way I am approaching problems and dealing with life's little challenges' ⭐ ⭐ ⭐ ⭐ ⭐
The Art of Thinking Clearly
A world-class thinker counts the 100 ways in which humans behave irrationally, showing us what we can do to recognize and minimize these “thinking errors” to make better decisions and have a better life Despite the best of intentions, humans are notoriously bad—that is, irrational—when it comes to making decisions and assessing risks and tradeoffs. Psychologists and neuroscientists refer to these distinctly human foibles, biases, and thinking traps as “cognitive errors.” Cognitive errors are systematic deviances from rationality, from optimized, logical, rational thinking and behavior. We make these errors all the time, in all sorts of situations, for problems big and small: whether to choose the apple or the cupcake; whether to keep retirement funds in the stock market when the Dow tanks, or whether to take the advice of a friend over a stranger. The “behavioral turn” in neuroscience and economics in the past twenty years has increased our understanding of how we think and how we make decisions. It shows how systematic errors mar our thinking and under which conditions our thought processes work best and worst. Evolutionary psychology delivers convincing theories about why our thinking is, in fact, marred. The neurosciences can pinpoint with increasing precision what exactly happens when we think clearly and when we don’t. Drawing on this wide body of research, The Art of Thinking Clearly is an entertaining presentation of these known systematic thinking errors--offering guidance and insight into everything why you shouldn’t accept a free drink to why you SHOULD walk out of a movie you don’t like it to why it’s so hard to predict the future to why shouldn’t watch the news. The book is organized into 100 short chapters, each covering a single cognitive error, bias, or heuristic. Examples of these concepts include: Reciprocity, Confirmation Bias, The It-Gets-Better-Before-It-Gets-Worse Trap, and the Man-With-A-Hammer Tendency. In engaging prose and with real-world examples and anecdotes, The Art of Thinking Clearly helps solve the puzzle of human reasoning.
Graph Representation Learning
Author: William L. Hamilton
language: en
Publisher: Springer Nature
Release Date: 2022-06-01
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.