Adaptive Regression

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Ego Psychology And Social Work Practice

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Author : Eda Goldstein
language : en
Publisher: Simon and Schuster
Release Date : 1995-03

Ego Psychology And Social Work Practice written by Eda Goldstein and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-03 with Medical categories.

While ego psychological theory still holds a pre-eminent position in clinical social work practice, the field has changed in many ways. This revised edition addresses these major changes, bringing the reader up to date.

Cognitive Behavioral Theories Of Counseling

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Author : Marty Sapp
language : en
Publisher: Charles C Thomas Publisher
Release Date : 2004

Cognitive Behavioral Theories Of Counseling written by Marty Sapp and has been published by Charles C Thomas Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Psychology categories.

Intelligent And Other Computational Techniques In Insurance

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Author : L. C. Jain
language : en
Publisher: World Scientific
Release Date : 2003

Intelligent And Other Computational Techniques In Insurance written by L. C. Jain and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.

This book presents recent advances in the theory and implementation of intelligent and other computational techniques in the insurance industry. The paradigms covered encompass artificial neural networks and fuzzy systems, including clustering versions, optimization and resampling methods, algebraic and Bayesian models, decision trees and regression splines. Thus, the focus is not just on intelligent techniques, although these constitute a major component; the book also deals with other current computational paradigms that are likely to impact on the industry. The application areas include asset allocation, asset and liability management, cash-flow analysis, claim costs, classification, fraud detection, insolvency, investments, loss distributions, marketing, pricing and premiums, rate-making, retention, survival analysis, and underwriting. Contents: Insurance Applications of Neural Networks, Fuzzy Logic, and Genetic Algorithms; Practical Applications of Neural Networks in Property and Casualty Insurance; An Integrated Data Mining Approach to Premium Pricing for the Automobile Insurance Industry; Population Risk Management: Reducing Costs and Managing Risk in Health Insurance; Using Neural Networks to Predict in the Marketplace; Merging Soft Computing Technologies in Insurance-Related Applications; Robustness in Bayesian Models for BonusOCoMalus Systems; Using Data Mining for Modeling Insurance Risk and Comparison of Data Mining and Linear Modeling Approaches; System Intelligence and Active Stock Trading; The Algebra of Cash Flows: Theory and Application; and other papers. Readership: Graduate students, academics, researchers and practitioners involved with actuarial science, insurance, statistics and management science."

The Hitchhiker S Guide To Machine Learning Algorithms

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Author : Devin Schumacher
language : en
Publisher: SERP Media
Release Date : 2023-07-26

The Hitchhiker S Guide To Machine Learning Algorithms written by Devin Schumacher and has been published by SERP Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Computers categories.

Hello humans & welcome to the world of machines! Specifically, machine learning & algorithms. We are about to embark on an exciting adventure through the vast and varied landscape of algorithms that power the cutting-edge field of artificial intelligence. Machine learning is changing the world as we know it. From predicting stock market trends and diagnosing diseases to powering the virtual assistants in our smartphones and enabling self-driving cars, and picking up the slack on your online dating conversations. What makes this book unique is its structure and depth. With 100 chapters, each dedicated to a different machine learning concept, this book is designed to be your ultimate guide to the world of machine learning algorithms. Whether you are a student, a data science professional, or someone curious about machine learning, this book aims to provide a comprehensive overview that is both accessible and in-depth. The algorithms covered in this book span various categories including: Classification & Regression: Learn about algorithms like Decision Trees, Random Forests, Support Vector Machines, and Logistic Regression which are used to classify data or predict numerical values. Clustering: Discover algorithms like k-Means, Hierarchical Clustering, and DBSCAN that group data points together based on similarities. Neural Networks & Deep Learning: Dive into algorithms and architectures like Perceptrons, Convolutional Neural Networks (CNN), and Long Short-Term Memory Networks (LSTM). Optimization: Understand algorithms like Gradient Descent, Genetic Algorithms, and Particle Swarm Optimization which find the best possible solutions in different scenarios. Ensemble Methods: Explore algorithms like AdaBoost, Gradient Boosting, and Random Forests which combine the predictions of multiple models for improved accuracy. Dimensionality Reduction: Learn about algorithms like Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) which reduce the number of features in a dataset while retaining important information. Reinforcement Learning: Get to know algorithms like Q-learning, Deep Q-Network (DQN), and Monte Carlo Tree Search which are used in systems that learn from their environment. Each chapter is designed as a standalone introduction to its respective algorithm. This means you can start from any chapter that catches your interest or proceed sequentially. Along with the theory, practical examples, applications, and insights into how these algorithms work under the hood are provided. This book is not just an academic endeavor but a bridge that connects theory with practical real-world applications. It's an invitation to explore, learn, and harness the power of algorithms to solve complex problems and make informed decisions. Fasten your seat belts as we dive into the mesmerizing world of machine learning algorithms. Whether you are looking to expand your knowledge, seeking inspiration, or in pursuit of technical mastery, this book should sit on your coffee table and make you look intelligent in front of all invited (and uninvited) guests.

Theories Of Hypnosis

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Author : Steven J. Lynn
language : en
Publisher: Guilford Press
Release Date : 1991-10-04

Theories Of Hypnosis written by Steven J. Lynn and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-10-04 with Psychology categories.

It has been said that "hypnosis is a collection of techniques in need of a unifying theory." (James A. Hall, Hypnosis: A Jungian Perspective). While the varied substrates of these techniques preclude the formation of any one theory of hypnosis, this volume presents a "state-of-the-science" view of existing theories of hypnosis. Written by eminent scholars and researchers, this uniquely authoritative resource also provides a wealth of information about the history of hypnosis, clinical and research perspectives on hypnosis, and the strengths and weaknesses of empirical methods used to address crucial theoretical questions. The streamlined organization of the volume facilitates the reader's ability to contrast and compare research findings and concepts across theories. In the introductory chapters, the editors describe hypnosis paradigms and schools of thought, including major points of convergence and divergence, as well as a broad vista of different perspectives on the history of hypnosis. The theoretical chapters that follow present definitive statements by an international array of eminent scholars who are at the forefront of conceptual advances in the realms of clinical and experimental hypnosis. Their contributions, written in lively first-person narratives, explore current thinking about hypnosis and represent important clinical and research traditions that extend beyond the territory of hypnosis to mainstream psychology. Providing a thorough discussion of hypnotic phenomena, the book tackles tough questions such as whether hypnosis evokes an altered state of consciousness; whether hypnotic behavior is involuntary; whether hypnotizability is stable, trait-like, and modifiable; and whether hypnotic and non-hypnotic behavior can be distinguished in meaningful ways. The diversity of viewpoints, including competitive ones, illuminates the debates which have expanded the frontiers of knowledge about hypnosis. In the concluding section, the editors compare and contrast these theories, discuss pertinent research issues, and lay out an agenda for future research. Given its stellar list of contributors and the unique niche it occupies as the first authoritative survey of its kind, THEORIES OF HYPNOSIS is of value to anyone interested in the topic. The editors' ten years of experience teaching hypnosis to psychology and medical students has resulted in a book with enormous appeal to students and instructors, as well as clinicians and researchers. A wide variety of professionals--academics, clinical psychologists, psychiatrists, social workers, dentists--will find it an authoritative introduction and invaluable reference to this still-growing, ever-fascinating field.

Atmospheric Modeling Data Assimilation And Predictability

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Author : Eugenia Kalnay
language : en
Publisher: Cambridge University Press
Release Date : 2003

Atmospheric Modeling Data Assimilation And Predictability written by Eugenia Kalnay and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.

This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.

Mars Applications In Geotechnical Engineering Systems

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Author : Wengang Zhang
language : en
Publisher: Springer
Release Date : 2019-04-30

Mars Applications In Geotechnical Engineering Systems written by Wengang Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Technology & Engineering categories.

This book presents the application of a comparatively simple nonparametric regression algorithm, known as the multivariate adaptive regression splines (MARS) surrogate model, which can be used to approximate the relationship between the inputs and outputs, and express that relationship mathematically. The book first describes the MARS algorithm, then highlights a number of geotechnical applications with multivariate big data sets to explore the approach’s generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis.

Hypnosis

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Author : Ronald E. Shor
language : en
Publisher: Routledge
Release Date : 2017-07-12

Hypnosis written by Ronald E. Shor and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Psychology categories.

This thorough revision of the first edition, updates and expands, with 25 percent new material, what was generally recognized as a major survey of contemporary scientific research in hypnosis. In this edition, also a classic, the editors include three new essays in modern hypnosis studies. They also provide a new conceptual framework--cognitive, ego-psychological, and phenomenological--with which to examine hypnosis. This edition is divided into six sections--Theoretical and Historical Perspectives, New Theories, Surveys of Broad Areas, Lines of Individual Research, Individual Researches within Specific Areas, and Anticipations for Future Research. The entire book was completely revised in the light of additional research since publication of the original edition. Thirteen of the twenty chapters in the first edition were updated by their authors, six so extensively that they amount to new chapters, with changes in title and order of authors in the case of coauthored chapters. Hypnosis: Developments in Research and New Perspectives is intended for researchers in hypnosis and clinical practitioners in medicine and psychology. The focus, as indicated by the changed subtitle, is on developments since publication of the original editions: empirical studies, experiments with physiological indicators of hypnosis, and theoretical uses associated with use of hypnosis as a research tool. Altogether, this second edition is a valuable overall guide to an intriguing topic.

Distributed Computing And Artificial Intelligence 12th International Conference

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Author : Sigeru Omatu
language : en
Publisher: Springer
Release Date : 2015-05-28

Distributed Computing And Artificial Intelligence 12th International Conference written by Sigeru Omatu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-28 with Technology & Engineering categories.

The 12th International Symposium on Distributed Computing and Artificial Intelligence 2015 (DCAI 2015) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the Osaka Institute of Technology, Qatar University and the University of Salamanca.

Optimal Sports Math Statistics And Fantasy

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Author : Robert Kissell
language : en
Publisher: Academic Press
Release Date : 2017-04-06

Optimal Sports Math Statistics And Fantasy written by Robert Kissell and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-06 with Mathematics categories.

Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions. Readers will learn how to: - Accurately rank sports teams - Compute winning probability - Calculate expected victory margin - Determine the set of factors that are most predictive of team and player performance Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models. Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world. - Statistical approaches to predict winning team, probabilities, and victory margin - Procedures to evaluate the accuracy of different models - Detailed analysis of how mathematics and statistics are used in a variety of different sports - Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination