Experiment in Depth PDF Download

Author: Percival William Martin
Publisher: Psychology Press
ISBN: 9780415209410
Category : Archetype (Psychology)
Languages : en
Pages : 320

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Book Description
First Published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

Author: PW Martin
Publisher: Routledge
ISBN: 1136301240
Category : Medical
Languages : en
Pages : 320

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Book Description
This is Volume IV of twelve in the Analytical Psychology Series. Originally published in 1955, experiment in depth set out in this book derives mainly from the work of three men: C. G. Jung, the psychologist; T. S. Eliot, the poet; and A.J. Toynbee, the historian. Each of them, in his own way, has employed what Eliot once termed the 'mythical method'-the exploration of those symbols, visions, idees-forces which, acting powerfully from the unconscious depths, enable men and communities to form new energies, new values and new aims. In the present age the mythical method has been used chiefly by the totalitarian ideologies, for purposes of domination and power. The question examined here is whether and how it can be used to better purpose.

Author: Percival William Martin
Publisher:
ISBN: 9780415191326
Category : Electronic books
Languages : en
Pages : 274

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Book Description

Author: Martin, P W
Publisher: Routledge
ISBN: 9781136301179
Category : Psychology
Languages : en
Pages : 284

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Book Description
First published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

Author: Percival W. Martin
Publisher:
ISBN:
Category :
Languages : en
Pages : 274

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Book Description

Author: Anna Glendenning
Publisher: Random House
ISBN: 1473582385
Category : Fiction
Languages : en
Pages : 252

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Book Description
'I adore this book! ... An Experiment in Leisure shows us the burning, intense, messy beauty of youth and what it means to be alive' Maxine Peake 'Can I get a refund?' I asked the bus driver. 'You taking the piss, love?' It's the eve of Brexit, and Grace is supposed to have what she wants. She's swapped West Yorkshire for north London, her accent carefully edited. Her friends drink beer out of artful tins. She makes flat whites for people with berets. She's found a psychoanalyst. But this fantasy of metropolitan cool is turning out to be more costly than she thought and Grace faces complicated crises of identity, class, sexuality and geography. Can she remember how to love? Can she find a way home? 'A dizzying yet powerful read' Claire-Louise Bennett, author of Checkout 19

Author: P. W. Martin
Publisher:
ISBN: 9780899876498
Category :
Languages : en
Pages : 275

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Author: Percival William Martin
Publisher:
ISBN: 9780719917981
Category : Subconsciousness
Languages : en
Pages : 0

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Book Description

Author: Claes Wohlin
Publisher: Springer Science & Business Media
ISBN: 3642290442
Category : Computers
Languages : en
Pages : 249

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Book Description
Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.

Author: David Sweet
Publisher: Simon and Schuster
ISBN: 1638356904
Category : Computers
Languages : en
Pages : 246

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Book Description
Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You’ll start with a deep dive into methods like A/B testing, and then graduate to advanced techniques used to measure performance in industries such as finance and social media. Learn how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics. By the time you’re done, you’ll be able to seamlessly deploy experiments in production while avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world’s most competitive industries that will help you enhance machine learning systems, software applications, and quantitative trading solutions. About the book Experimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You’ll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods. The skills you’ll master in this practical guide will help you minimize the costs of experimentation and quickly reveal which approaches and features deliver the best business results. What's inside Design, run, and analyze an A/B test Break the “feedback loops” caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization About the reader For ML and software engineers looking to extract the most value from their systems. Examples in Python and NumPy. About the author David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science master's programs at Yeshiva University. Table of Contents 1 Optimizing systems by experiment 2 A/B testing: Evaluating a modification to your system 3 Multi-armed bandits: Maximizing business metrics while experimenting 4 Response surface methodology: Optimizing continuous parameters 5 Contextual bandits: Making targeted decisions 6 Bayesian optimization: Automating experimental optimization 7 Managing business metrics 8 Practical considerations