Author: Marilia Aisenstein
Publisher: Routledge
ISBN: 0429910703
Category : Psychology
Languages : en
Pages : 277
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Book Description
This book is a journey through almost forty years of practice. Each chapter is independent of the others and develops around a specific theme: psychoanalysis in France, the transference, fathers today, psychic bisexuality, the sick body, human destructivity, and so on. The underlying thread is none the less the question of knowing how the drive operates between the biological body and mental functioning consisting of representations and affects, and, especially, how it gives rise to thinking. If thinking is an "act of the flesh", as the author asserts, how can we refine our understanding of the vicissitudes of the "mysterious leap from the mind to the body"? Furthermore, how does Freudian metapsychology still help us today in our encounters with patients? Contemporary clinical practice is sometimes bewildering: acts, violence, pain, and somatization often replace neurotic conflicts and speech. The clinical stories related here have the aim of showing that a psychoanalysis rooted in the Freudian corpus is still alive and can continue to offer creative responses today.
Author: Judith Dupont
Publisher: Ipbooks
ISBN: 9781949093193
Category : Psychology
Languages : en
Pages : 356
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Book Description
"I can't tell anyone, so I tell everyone", wrote Frigyes Karinthy1 in one of his poems, lending his voice to all those who hide silently behind their actions before deciding to take up a pen and expose their thoughts. To be able to do this, to "tell everyone", one has to ignore the time-honoured adage: "A secret life is a happy life". But the desire to "have one's say" triumphs over the fear of confronting the world with all its dangers, real or imaginary. A psychoanalyst who undertakes to go over the course of her professional life and presents the ideas connected with it will, of course, revive certain memories. To be able to speak about herself, the analyst, like everyone else, must overcome some resistance. Analytic practice is based on the ability to listen, to remain attentive to the other. However, an analyst can only listen to those who come to him in search of themselves if he listens to himself. Immersion into the patient's past causes his own past to resurface. By changing the internal narration, the analysis makes it possible to carve out a place for oneself in the world. The psychoanalyst chooses this practice out of a desire to understand, but as the author of the present work points out, at times he must also be able to accept his own inability to understand, or the fact that he may misunderstand. The practice of psychoanalysis gives rise to questions formulated in discussions with colleagues.
Author: João Moreira
Publisher: John Wiley & Sons
ISBN: 1119296242
Category : Mathematics
Languages : en
Pages : 352
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Book Description
A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.
Author: D. J. H. Garling
Publisher: Cambridge University Press
ISBN: 1139465147
Category : Mathematics
Languages : en
Pages : 347
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Book Description
This book contains a wealth of inequalities used in linear analysis, and explains in detail how they are used. The book begins with Cauchy's inequality and ends with Grothendieck's inequality, in between one finds the Loomis-Whitney inequality, maximal inequalities, inequalities of Hardy and of Hilbert, hypercontractive and logarithmic Sobolev inequalities, Beckner's inequality, and many, many more. The inequalities are used to obtain properties of function spaces, linear operators between them, and of special classes of operators such as absolutely summing operators. This textbook complements and fills out standard treatments, providing many diverse applications: for example, the Lebesgue decomposition theorem and the Lebesgue density theorem, the Hilbert transform and other singular integral operators, the martingale convergence theorem, eigenvalue distributions, Lidskii's trace formula, Mercer's theorem and Littlewood's 4/3 theorem. It will broaden the knowledge of postgraduate and research students, and should also appeal to their teachers, and all who work in linear analysis.
Author: Thomas H. Davenport
Publisher: Harvard Business Press
ISBN: 1422156303
Category : Business & Economics
Languages : en
Pages : 243
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Book Description
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
Author: Eric Siegel
Publisher: John Wiley & Sons
ISBN: 1119153654
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
Author: Gábor Békés
Publisher: Cambridge University Press
ISBN: 1108483011
Category : Business & Economics
Languages : en
Pages : 741
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Book Description
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author: Beryl A. Radin
Publisher: Cambridge University Press
ISBN: 1108934552
Category : Political Science
Languages : en
Pages : 124
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Book Description
For much of its life, the field of policy analysis has lived with a wide range of definitions of its goals, work and significance in the society. This Element seeks to sort out these differences by describing the issues, players and developments that have played a role over the life of this field. As a result of the relationships that have developed an environment has emerged where both academics and practitioners who self identify as 'policy analysts' are not always recognized as such by others who use that same label. This Element explores the reasons why this conflictual situation has developed and whether the current status is a major departure from the past. While these developments may not be new or found only in policy analysis, they do have an impact on the status of the academics as well as the practitioners in the field.
Author: Stéphanie Gaudet
Publisher: SAGE
ISBN: 1526448211
Category : Social Science
Languages : en
Pages : 327
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Book Description
This hands-on guide takes students from start-to-finish through the research process while showcasing the complexities and interrelationships of different methods, schools of thought, and associated analytical strategies. Encouraging students to think of qualitative research as a flexible, cyclical process rather than a linear one, this book offers a panoramic strategy and dynamic approach to qualitative research that accommodates the fluid nature of research and accounts for lessons learned through lived experience. With an emphasis on the analysis stage—within case, across case, and the dialogue between these insights and existing literature—it uses concrete applications to show how your methodological decisions translate into practice. It covers: Forming, defending, and evaluating research questions Choosing a research approach Ensuring ethically sound research Collecting quality data Analyzing data in layers Reporting research results Through a conversational tone that unpacks key vocabulary and acts as a companion supervisor, this book equips you to traverse every step of the qualitative research journey.
Author: Tugrul Daim
Publisher: Springer
ISBN: 331954537X
Category : Business & Economics
Languages : en
Pages : 294
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Book Description
This book introduces readers to essential technology assessment and forecasting tools, demonstrating their use on the basis of multiple cases. As organizations in the high-tech industry need to be able to assess emerging technologies, the book presents cases in which formal decision-making models are developed, providing a framework for decision-making in the context of technology acquisition and development. Applications of different technology forecasting tools are also discussed for a range of technologies and sectors, providing a guide to keep R&D organizations abreast of technological trends that affect their business. As such, the book offers a valuable the theoretical and practical reference guide for R&D managers responsible for emerging and future technologies.
