WHAT EVERY POSTDOC NEED..(2ND ED) (2版)

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Thinking of starting a postdoc? Want to know how to move on from a postdoc? Or simply want to make the best of your postdoc years? Being a postdoc is not a career... but it can be the pivotal point in the making of one. This friendly, practical, and occasionally humorous guide to all things postdoc combines the three authors' vast experience of postdoc careers and personal development.This is a guide to developing, advancing and furthering yourself and your career. In working through exercises, learning from the experience of others (including the trials and tribulations of the authors) and seeking out information, we hope you will consider what success means on your own terms.In its pages you will find advice on: Choosing the right postdoc for youMaximising your postdoc contract for personal and professional goalsSelecting and attaining your next career step (academic or otherwise)Your postdoc is part of the journey towards a range of career destinations, from industrial R&D specialist to politician, from lecturer to spin-out Chief Executive, and this book is designed to help you get there. Providing indispensable advice on UK-based postdocs for national and international students, it is perfect for those making exciting transitions (student to postdoc, postdoc to the wide world of careers beyond) or for those who simply want to take their postdoc up a gear.This Second Edition includes new material exploring the importance of collaborations, enterprise career routes and research impact.

Secrets of Machine Learning: How It Works and What It Means for You

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【簡介】 Cutting through the mass of technical literature on machine learning and AI and the plethora of fear-mongering books on the rise of killer robots, Secrets of Machine Learning offers a clear-sighted explanation for the informed reader of what this new technology is, what it does, how it works, and why it's so important. The surge in computer processing power along with the sheer quantities of training data available, means machine learning is now possible in ways wholly unthinkable just five years ago. Computers can recognize potential lung cancer better than doctors, detect fraud better than bankers, and create fake video almost impossible to tell from the real thing. And next, they are likely to drive our cars. Journalist and news product manager Tom Kohn gets to the heart of the revolutionary new technology that is developing all around us, explaining with precision how the different facets of machine learning work, how companies are using it, and why it is permeating all parts of society right now. The book guides readers through the arcane science and jargon in a clear and understandable way, but is detailed enough that it doesn't gloss over the hard technical concepts. If you want to know why Siri sometimes misunderstands you, how Netflix recommends your movies, and how machine learning will affect your job — read this book. 【目錄】

Deciding What's Right: A Practical Guide to Moral Theory (1版)

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【簡介】 The ethics primer for students in a hurry Deciding What’s Right by Lewis Vaughn empowers students with the knowledge and skills they need to navigate moral quandaries with confidence and integrity. The author doesn’t simply introduce moral theory; he brings it to life with evocative cases, rich pedagogy, and sustained emphasis on critical thinking. With remarkably effective chapters on moral reasoning—including a unique “Framework for Moral Decision-Making”—and deeper coverage of applied ethics than any text of its kind, Deciding What’s Right sets a new standard for introductory ethics courses. 【目錄】 CHAPTER 1: Ethics and the Moral Life The Ethical Landscape The Elements of Ethics Religion and Morality Keywords Exercises Ethical Dilemmas CHAPTER 2: Relativism and Emotivism Subjective Relativism Cultural Relativism Emotivism Keywords Exercises Ethical Dilemmas CHAPTER 3: Moral Arguments Claims and Arguments Arguments Good and Bad Implied Premises Moral Statements and Arguments Testing Moral Premises Assessing Nonmoral Premises Avoiding Bad Arguments Keywords Exercises Ethical Dilemmas CHAPTER 4: Moral Theories Theories of Right and Wrong Major Theories Evaluating Theories Keywords Exercises Ethical Dilemmas CHAPTER 5: Ethical Egoism Applying the Theory Evaluating the Theory Keywords Exercises Ethical Dilemmas CHAPTER 6: Utilitarianism Applying the Theory Evaluating the Theory Learning from Utilitarianism Keywords Exercises Ethical Dilemmas CHAPTER 7: Kantian Ethics Applying the Theory Evaluating the Theory Learning from Kant’s Theory Keywords Exercises Ethical Dilemmas CHAPTER 8: Natural Law Theory Applying the Theory Evaluating the Theory Learning from Natural Law Keywords Exercises Ethical Dilemmas CHAPTER 9: Social Contract Theory Hobbes’s Theory Pluses and Minuses Keywords Exercises Ethical Dilemmas CHAPTER 10: The Feminist Challenge Feminist Ethics The Ethics of Care Keywords Exercises Ethical Dilemmas CHAPTER 11: Virtue Ethics Virtue in Action Evaluating Virtue Ethics Learning from Virtue Ethics Keywords Exercises Ethical Dilemmas CHAPTER 12: A Framework for Moral Decision-Making Moral Common Sense Prima Facie Principles Three Rules Deciding What’s Right Resolving Cases Keywords Exercises Ethical Dilemmas CHAPTER 13: Bioethics Keywords Exercises Ethical Dilemmas CHAPTER 14: Business Ethics Keywords Exercises Ethical Dilemmas CHAPTER 15: Environmental Ethics Keywords Exercises Ethical Dilemmas CHAPTER 16: AI Ethics Social Bias in Artificial Intelligence Our Moral Obligations as Consumers of Artificial Intelligence The Moral Obligations of Developers and Social Media Platforms Using Artificial Intelligence to Manipulate Artificial Intelligence and Job Displacement Autonomous Machines, Harm, and Moral Responsibility Will Artifical Intelligence Take Over? Keywords Exercises Ethical Dilemmas Further Reading Glossary Index