Intitle Index Of Dont Let It In 2020
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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.
Introduction to Information Retrieval
Author: Christopher D. Manning
language: en
Publisher: Cambridge University Press
Release Date: 2008-07-07
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.