Clearly explaining more than 100 groundbreaking ideas in the field, The Psychology Book uses accessible text and easy-to-follow graphics and illustrations to explain the complex theoretical and experimental foundations of psychology.From its philosophical roots through behaviorism, psychotherapy, and developmental psychology, The Psychology Book looks at all the greats from Pavlov and Skinner to Freud and Jung, and is an essential reference for students and anyone with an interest in how the mind works.

    For the first time, medical knowledge took on a precision that had formerly belonged only to mathematics. The body became something that could be mapped. Disease became subject to new rules of classification. And doctors begin to describe phenomena that for centuries had remained below the threshold of the visible and expressible.In The Birth of the Clinic the philosopher and intellectual historian who may be the true heir to Nietzsche charts this dramatic transformation of medical knowledge. As in his classic Madness and Civilization, Michel Foucault shows how much what we think of as pure science owes to social and cultural attitudes — in this case, to the climate of the French Revolution. Brilliant, provocative, and omnivorously learned, his book sheds new light on the origins of our current notions of health and sickness, life and death.

    Robert Kaplan and Dennis Saccuzzo provide students with a current analysis of the most widely used psychological tests in schools, professional training programs, business, industry, the military, and clinical settings. The authors offer a clear picture of how psychological tests are constructed, how they are used, and how an understanding of them can make a difference in their careers and everyday lives. Comprehensive and accurate, yet interesting and personally relevant, this book gets and keeps students' attention through the use of informal discussions and real-life examples.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Challenging the reductionist division of people by race, religion, and class, Sen presents an inspiring vision of a world that can be made to move toward peace as firmly as it has spiraled in recent years toward brutality and war.

    Today, unfortunately, the traditional place of mathematics in education is in grave danger. The teaching and learning of mathematics has degenerated into the realm of rote memorization, the outcome of which leads to satisfactory formal ability but does not lead to real understanding or to greater intellectual independence. This new edition of Richard Courant's and Herbert Robbins's classic work seeks to address this problem. Its goal is to put the meaning back into mathematics.Written for beginners and scholars, for students and teachers, for philosophers and engineers, What is Mathematics? Second Edition is a sparkling collection of mathematical gems that offers an entertaining and accessible portrait of the mathematical world. Covering everything from natural numbers and the number system to geometrical constructions and projective geometry, from topology and calculus to matters of principle and the Continuum Hypothesis, this fascinating survey allows readers to delve into mathematics as an organic whole rather than an empty drill in problem solving. With chapters largely independent of one another and sections that lead upward from basic to more advanced discussions, readers can easily pick and choose areas of particular interest without impairing their understanding of subsequent parts.Brought up to date with a new chapter by Ian Stewart, What is Mathematics? Second Edition offers new insights into recent mathematical developments and describes proofs of the Four-Color Theorem and Fermat's Last Theorem, problems that were still open when Courant and Robbins wrote this masterpiece, but ones that have since been solved.Formal mathematics is like spelling and grammar - a matter of the correct application of local rules. Meaningful mathematics is like journalism - it tells an interesting story. But unlike some journalism, the story has to be true. The best mathematics is like literature - it brings a story to life before your eyes and involves you in it, intellectually and emotionally. What is Mathematics is like a fine piece of literature - it opens a window onto the world of mathematics for anyone interested to view.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    Using it, scientists can find order emerging from seemingly random interactions of all kinds, from something as simple as flipping coins through to more challenging problems such as the patterns in modern jazz, the growth of cancer tumours, and predicting shopping habits.

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    With the logic which is the great instrument of French thought, [Ellul] explores and attempts to prove the thesis that propaganda, whether its ends are demonstrably good or bad, is not only destructive to democracy, it is perhaps the most serious threat to humanity operating in the modern world."--Los Angeles Times"The theme of Propaganda is quite simply...that when our new technology encompasses any culture or society, the result is propaganda... Ellul has made many splendid contributions in this book."--Book Week"An exhaustive catalog of horrors. It shows how modern, committed man, surrounded and seized by propaganda, more often than not surrenders himself to it only too willingly, especially in democracies--because he is educated for his rule as dupe. 'The most favorable moment to seize a man and influence him,' Ellul writes, 'is when he is alone in the mass; it is at this point that propaganda can be most effective. This is the situation of the 'lonely crowd,' or of isolation in the mass, which is a natural product of modern-day society, which is both used and deepened by the mass media.' "--Los Angeles Free Press

    This groundbreaking book, winner of the 1974 Sorokin Award of the American Sociological Association, helped define for an entire generation of anthropologists what their field is ultimately about.

    This book is the story of the life of Nisa, a member of the !Kung tribe of hunter-gatherers from southern Africa's Kalahari desert. Told in her own words--earthy, emotional, vivid--to Marjorie Shostak, a Harvard anthropologist who succeeded, with Nisa's collaboration, in breaking through the immense barriers of language and culture, the story is a fascinating view of a remarkable woman.

    Do you want your students to just take psychology or to experience psychology? Laura King's approach to introductory psychology embodies a balanced consideration of functioning behavior as well as dysfunction and a view of psychology as an integrated whole.

    These themes include mathematical reasoning, combinatorial analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the relevance and practicality of discrete mathematics to all students. The Fifth Edition includes a more thorough and linear presentation of logic, proof types and proof writing, and mathematical reasoning. This enhanced coverage will provide students with a solid understanding of the material as it relates to their immediate field of study and other relevant subjects. The inclusion of applications and examples to key topics has been significantly addressed to add clarity to every subject. True to the Fourth Edition, the text-specific web site supplements the subject matter in meaningful ways, offering additional material for students and instructors. Discrete math is an active subject with new discoveries made every year. The continual growth and updates to the web site reflect the active nature of the topics being discussed. The book is appropriate for a one- or two-term introductory discrete mathematics course to be taken by students in a wide variety of majors, including computer science, mathematics, and engineering. College Algebra is the only explicit prerequisite.

    In many countries, supplies of food and water are inadequate to support the population, so the world falls deeper and deeper into what economists call the "Malthusian trap."Here, Malthus examines the tendency of human numbers to outstrip their resources, and argues that poverty, disease, and starvation are necessary to keep societies from moving beyond their means of subsistence.Public Domain (P)2013 Audible Ltd