Author : Justin Zobel
Publisher : Taylor & Francis
Page : 292 pages
File Size : 14,5 MB
Release : 2004-06-03
Category : Computers
ISBN : 9781852338022
A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research
Author : Stephen B. Heard
Publisher : Princeton University Press
Page : 317 pages
File Size : 46,38 MB
Release : 2016-04-12
Category : Science
ISBN : 1400881145
A concise and accessible primer on the scientific writer's craft The ability to write clearly is critical to any scientific career. The Scientist's Guide to Writing provides practical advice to help scientists become more effective writers so that their ideas have the greatest possible impact. Drawing on his own experience as a scientist, graduate adviser, and editor, Stephen Heard emphasizes that the goal of all scientific writing should be absolute clarity; that good writing takes deliberate practice; and that what many scientists need are not long lists of prescriptive rules but rather direct engagement with their behaviors and attitudes when they write. He combines advice on such topics as how to generate and maintain writing momentum with practical tips on structuring a scientific paper, revising a first draft, handling citations, responding to peer reviews, managing coauthorships, and more. In an accessible, informal tone, The Scientist's Guide to Writing explains essential techniques that students, postdoctoral researchers, and early-career scientists need to write more clearly, efficiently, and easily. Emphasizes writing as a process, not just a product Encourages habits that improve motivation and productivity Explains the structure of the scientific paper and the function of each part Provides detailed guidance on submission, review, revision, and publication Addresses issues related to coauthorship, English as a second language, and more
Author : Chris Hahn
Publisher : SAGE
Page : 273 pages
File Size : 43,44 MB
Release : 2008-04-11
Category : Social Science
ISBN : 1446242331
′I find your straightforward writing style an absolute joy, such a breath of fresh air!′ - Angie Ash, PhD student ′...thank you very much for your accessible language, clear lay out and practical applied approach. I suspect that this book will never be far from my side over the next 4 years!!′ - Mayen Konarski, PhD student Using straight-forward language Doing Qualitative Research Using Your Computer walks readers through the process of managing and streamlining research projects using commonly available Microsoft software applications. Drawing on a wide range of examples to demonstrate how easy it is to use such software, this guide is full of useful hints and tips on how to manage research more efficiently and effectively, including: - Formatting transcripts for maximum coding efficiency in Microsoft Word - Using features of Word to organize the analysis of data and to facilitate efficient qualitative coding - Synchronizing codes, categories, and important concepts between Microsoft Word and Microsoft Access - Efficiently storing and analyzing the qualitative data in Microsoft Excel - Creating flexible analytic memos in Access that help lead the researcher to final conclusions Ideal for those students or researchers who don′t want to invest in expensive specialised software packages, this guide will be an invaluable companion for anyone embarking on their own research project.
Author : Scott Aaronson
Publisher : Cambridge University Press
Page : 403 pages
File Size : 36,19 MB
Release : 2013-03-14
Category : Computers
ISBN : 0521199565
Takes students and researchers on a tour through some of the deepest ideas of maths, computer science and physics.
Author : Darrell Huff
Publisher : W. W. Norton & Company
Page : 144 pages
File Size : 42,66 MB
Release : 2010-12-07
Category : Mathematics
ISBN : 0393070875
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Author : Kenneth R. Manning
Publisher : Oxford University Press
Page : 422 pages
File Size : 30,72 MB
Release : 1985-01-03
Category : Social Science
ISBN : 9780199763337
This biography illuminates the racial attitudes of an elite group of American scientists and foundation officers. It is the story of a complex and unhappy man. It blends social, institutional, black, and political history with the history of science.
Author : John Von Neumann
Publisher : Hassell Street Press
Page : 56 pages
File Size : 49,27 MB
Release : 2021-09-09
Category :
ISBN : 9781014439192
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author : Kevin Ferguson
Publisher : Simon and Schuster
Page : 611 pages
File Size : 27,31 MB
Release : 2019-01-06
Category : Computers
ISBN : 1638354014
Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning
Author : Carl T. Bergstrom
Publisher : Random House Trade Paperbacks
Page : 338 pages
File Size : 21,69 MB
Release : 2021-04-20
Category : Political Science
ISBN : 0525509208
Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. “A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit. We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.
Author : Jari Saramäki
Publisher : Independently Published
Page : 120 pages
File Size : 40,69 MB
Release : 2018-11-03
Category :
ISBN : 9781730784163
What if writing scientific papers was faster, easier, and a bit less painful? This book provides a step-by-step, top-down approach that makes it easier to turn your hard-won results into research papers that your fellow scientists want to read and cite. "I just wrote a (rough) first draft of a paper during a 3-hour flight, and if it wasn't for these teachings, this would have taken me days (if not weeks)!" -Talayeh Aledavood, James S. McDonnell Postdoctoral Fellow, University of Helsinki The book's systematic approach builds on what I've learned through coauthoring close to 100 research papers with students. You'll learn how to outline your paper from top to down, how to develop your story, and how to think about what to write before you write it. You'll also learn how to deal with many issues that writers of science commonly face, from the fear of the blank page to dealing with critical reviews. Here's what you get: A complete step-by-step plan for writing a scientific paper, from choosing which results to include to wrapping up the paper in the Discussion section Concrete, actionable, and practical advice, from a paragraph-level template for the Introduction to guidance on preparing plots and figures Lots of writing tips, from placing signposts in your text to shortening and straightening your sentences This book has been written for the PhD student who is aiming to write a journal article on her research results, but it should also be useful to any scientist who has ever found writing difficult. Whatever the stage of your career, if you'd like to learn how to write research papers systematically and efficiently, this is the book for you! The book includes PART I: STORY 1. How To Choose The Key Point Of Your Paper 2. How To Choose The Supporting Results 3. How To Write The Abstract 4. How To Choose The Title PART II: OUTLINE 5. The Power Of Outlining 6. How To Write The Introduction, Part I: Structure 7. How To Write The Introduction, Part II: A Four-Paragraph Template 8. How To Write The Introduction, Part III: The Lede 9. How To Write The Materials And Methods 10. How To Write The Results, Part I: Figures 11. How To Write The Results, Part II: Text 12. How To Write The Discussion PART III: WORDS 13. How Does Your Reader Read? 14. How To Write Your First Draft 15. How To Edit Your First Draft 16. Tips For Revising Content And Structure 17. Tips For Editing Sentences PART IV: IT'S NOT OVER YET 18. How To Write The Cover Letter 19. How To Deal With Reviews About the author I am a professor of computational science and an experienced academic with around 100 published papers. My research is interdisciplinary, to say the least: I have studied the social fabric of smartphone users, the genetic structure of ant supercolonies, the connectome of the human brain, networks of public transport, and the molecular biology of the human immune system, to name a few. So one could say that I have a broad range of scientific interests (or that I simply cannot choose). But that's exactly the way I like it!
