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Machine learning has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intelligence. This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively implement the principles in real-world applications. All major techniques, such as regression, classification, clustering, deep learning, and association mining, have been illustrated using step-by-step coding instructions to help inculcate a 'learning by doing' approach. The book has no prerequisites, and covers the subject from the ground up, including a detailed introductory chapter on the Python language. As such, it is going to be a valuable resource not only for students of computer science, but also for anyone looking for a foundation in the subject, as well as professionals looking for a ready reckoner.
Stylistics is the linguistic study of style in language. Now in its second edition, this book is an introduction to stylistics that locates it firmly within the traditions of linguistics. Organised to reflect the historical development of stylistics, it covers key principles such as foregrounding theory, as well as recent advances in cognitive and corpus stylistics. This edition has been fully revised to cover all the major developments in the field since the first edition, including extensive coverage of corpus stylistics, new sections on a range of topics, additional exercises and commentaries, updated further reading lists, and an entirely re-written final chapter on the disciplinary status of stylistics and its relationship to linguistics, plus a manifesto for the future of the field. Comprehensive in its coverage and assuming no prior knowledge of the subject, it is essential reading for students and researchers new to this fascinating area of language study.
Fully updated and revised, Cognitive and Social Neuroscience of Aging, 2nd Edition provides an accessible introduction to aging and the brain. Now with full color throughout, it includes over fifty figures illustrating key research findings and anatomical diagrams. Adopting an integrative perspective across domains of psychological function, this edition features expanded coverage of multivariate methods, moral judgments, cognitive reserve, prospective memory, event boundaries, and individual differences related to aging, including sex, race, and culture. Although many declines occur with age, cognitive neuroscience research reveals plasticity and adaptation in the brain as a normal function of aging. With this perspective in mind, the book emphasizes the ways in which neuroscience methods have enriched and changed thinking about aging.
Principles of Behavioral Economics, written by an acknowledged leader in the field, provides a comprehensive introduction to one of the most exciting areas of modern economics. It demonstrates how models of economic theory can be enriched by using interdisciplinary insights from psychology, sociology, evolutionary biology, and neuroscience to build the basis for a more empirically supported set of economic principles. Unique in its level of rigor and lucidity, the book highlights the important link between theoretical and empirical economics by demonstrating the usefulness of a range of data sources such as observational data, lab data, survey data, and neuroeconomic data. This field-defining textbook argues that behavioral economics is not just a supplement to mainstream economics. Taking behavioral economics seriously requires a total rethink, and eventual transformation, of every area of economics.
These are all very practical decisions, and the methods of analyzing them make use of Principle 1:A dollar today is not worth the same as a dollar tomorrow. Economists have considered the management of personal financial resources over a lifetime to be a central issue worthy of serious study, and several Nobel Prizes in economics have been awarded for contributions in this area. And, as Box 3.1 shows, financial literacy for a nation’s people is a goal being pursued by countries all over the world.
Most financial decisions boil down to figuring out how much an asset is worth. For example, in deciding whether to invest in a security such as a stock or a bond or in a business opportunity, you have to determine whether the price being asked is high or low relative to other investment opportunities available to you. In addition to investment decisions, there are many other situations in which one needs to determine the value of an asset. For example, suppose that the tax assessor in your town has assessed your house at $500,000 for property tax purposes. Is this value too high or too low? Or suppose you and your siblings inherit some property, and you decide to sell it and share the proceeds equally among yourselves. How do you decide how much it is worth?
In the previous chapters we introduced the concept of valuation, which involved converting cash flows that are expected to happen in the future into today’s terms, and we learned about the returns on various assets and how to analyze the past performance of financial instruments to inform investment decisions. However, the future is not known for sure. The cash flows that occur may be different from what we initially expect, and the value (and rates of return) of financial instruments change over time. In this chapter, we introduce a fundamental concept in finance: Uncertainty about the future can affect valuation and decision making.
We begin by defining what risk is in finance, and how it affects financial decisions. We then dive into how risk can be managed, which includes identifying relevant risks, assessing how they can affect one’s financial situation, and then determining appropriate techniques that can be used to reduce these risks.
Before proceeding with our first steps in valuation, we need to introduce some tools and define some notation that will be used here and throughout the book when valuing assets.
At a fundamental level, the value of an asset comes from the cash flows that are associated with it—that is, from the amounts of money that the owner either receives or pays at various points in time. An essential tool in analyzing cash flows from any financial decision is a diagram known as a timeline, a linear representation of cash outflows and inflows over a period of time. A negative sign in front of a cash flow means that you are paying that amount of money (it’s a cash outflow from you). No sign means that you are receiving an amount of money (it’s a cash inflow to you).
This chapter discusses some of the current trends and promising future directions in the field of cognitive neuroscience of aging. The chapter first discusses recent research investigating the contribution of individual difference factors related to identify, including race, culture, and sex differences. Next, the chapter reviews recent research on neuromodulation, including ways in which noninvasive brain stimulation (e.g., repetitive transcranial magnetic stimulation [rTMS], transcranial direct current stimulation [tDCS], and transcranial alternating current stimulation [tACS]) has been used in an attempt to enhance cognition with age as well as with age-related disorders. This section also considers other approaches to neuromodulation, including deep-brain stimulation and neurofeedback. Finally, discussion of emerging directions considers the importance of investigating aging across the lifespan, studying the intersection of physical health with cognition, exploring the distinction of socioemotional and cognitive domains, and emphasizing the contribution of context with age.
This chapter considers the changes that occur with age-related disorders. For Alzheimer’s disease and amnestic mild cognitive impairment, the chapter reviews structural changes that occur in the brain and then turns to functional changes. These include coverage of changes related to memory and cognition, attention, and self and emotion. Next, neuroimaging research on amyloid and tau are reviewed, and some literature on relevant genes is discussed. The chapter then reviews literature on other age-related neurodegenerative diseases, considering effects on cognitive and social functions. These include Parkinson’s disease, Huntington’s disease, frontotemporal dementias (including progressive nonfluent aphasia, semantic dementia, behavioral variant frontotemporal dementia, and amyotrophic lateral sclerosis).
In the last few chapters we have considered financial and strategic decisions made within companies, and whether they improve the value of the company. In this chapter we continue examining company decisions, and focus on a particular financial decision—the payout decision, which considers whether a company keeps the cash it holds or gives it back to investors. As we will show, this decision is important because firms can potentially increase their value—and benefit their investors—through their choice of whether to pay out cash to investors. Furthermore, as we discussed in the previous chapter, agency problems may arise when companies hold onto large amounts of cash due to managerial conflicts of interest. Thus, payout can serve an important role in corporate governance.
This chapter reviews findings about the effects of aging on memory. Coverage includes working memory, encompassing processes such as refreshing and inhibition, as well as explicit and implicit long-term memory, and prospective memory. Within the topic of explicit long-term memory, specific topics include the levels of processing framework, subsequent memory paradigms, recollection, source memory, associative memory and binding, semantic memory, false memory, autobiographical memory, memory and future thinking, reactivation, controlled processes in long-term memory, event boundaries, and pattern separation.
In previous chapters we explored how to calculate the value of a company, given decisions that it had already made. In subsequent chapters we then focused on decisions that a manager within a company could make, and how they affect company value, such as project investment decisions. In this chapter we continue to examine decisions made by companies, and focus on a particularly important decision—the financing decision. Capital structure is the mix of financing sources that a firm uses to fund its operations, growth, and investment projects. A firm may choose to use internal funding from operations, or use external funding from issuing debt (bonds) or equity (stock), or other financing instruments.
In the previous chapter we discussed what risk is and how managing risk is an essential element of every financial decision. Risk stems from uncertainty about the future. In this chapter, we introduce and explain financial contracts—options—that help resolve uncertainty by allowing an asset to be traded at a fixed price in the future after observing outcomes. More specifically, put options allow the choice to sell or not sell an underlying asset in the future, while call options allow the choice to buy or not buy an underlying asset in the future. The owner does not have to sell (in the case of a put) or buy (in the case of a call) in the future if it is not beneficial to them. Thus, the value of option contracts is that they embed flexibility—the owner makes the decision after the market price of the underlying asset is observed.