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Book Predictive Analytics

Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-12 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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

Book Predictive Modelling for Energy Management and Power Systems Engineering

Download or read book Predictive Modelling for Energy Management and Power Systems Engineering written by Ravinesh Deo and published by Elsevier. This book was released on 2020-09-30 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format

Book Predictive Control of Power Converters and Electrical Drives

Download or read book Predictive Control of Power Converters and Electrical Drives written by Jose Rodriguez and published by Wiley-IEEE Press. This book was released on 2012-04-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power converters and drives The book starts with an introduction to the subject before the first chapter on classical control methods for power converters and drives. This covers classical converter control methods and classical electrical drives control methods. The next chapter on Model predictive control first looks at predictive control methods for power converters and drives and presents the basic principles of MPC. It then looks at MPC for power electronics and drives. The third chapter is on predictive control applied to power converters. It discusses: control of a three-phase inverter; control of a neutral point clamped inverter; control of an active front end rectifier, and; control of a matrix converter. In the middle of the book there is Chapter four - Predictive control applied to motor drives. This section analyses predictive torque control of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control is the subject of the final chapter. The following topics are described in detail: cost function selection; weighting factors design; delay compensation; effect of model errors, and prediction of future references. While there are hundreds of books teaching control of electrical energy using pulse width modulation, this will be the very first book published in this new topic. Unique in presenting a completely new theoretic solution to control electric power in a simple way Discusses the application of predictive control in motor drives, with several examples and case studies Matlab is included on a complementary website so the reader can run their own simulations

Book Applied Predictive Modeling

    Book Details:
  • Author : Max Kuhn
  • Publisher : Springer Science & Business Media
  • Release : 2013-05-17
  • ISBN : 1461468493
  • Pages : 595 pages

Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Book Model Predictive Control of High Power Converters and Industrial Drives

Download or read book Model Predictive Control of High Power Converters and Industrial Drives written by Tobias Geyer and published by John Wiley & Sons. This book was released on 2017-02-28 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this original book on model predictive control (MPC) for power electronics, the focus is put on high-power applications with multilevel converters operating at switching frequencies well below 1 kHz, such as medium-voltage drives and modular multi-level converters. Consisting of two main parts, the first offers a detailed review of three-phase power electronics, electrical machines, carrier-based pulse width modulation, optimized pulse patterns, state-of-the art converter control methods and the principle of MPC. The second part is an in-depth treatment of MPC methods that fully exploit the performance potential of high-power converters. These control methods combine the fast control responses of deadbeat control with the optimal steady-state performance of optimized pulse patterns by resolving the antagonism between the two. MPC is expected to evolve into the control method of choice for power electronic systems operating at low pulse numbers with multiple coupled variables and tight operating constraints it. Model Predictive Control of High Power Converters and Industrial Drives will enable to reader to learn how to increase the power capability of the converter, lower the current distortions, reduce the filter size, achieve very fast transient responses and ensure the reliable operation within safe operating area constraints. Targeted at power electronic practitioners working on control-related aspects as well as control engineers, the material is intuitively accessible, and the mathematical formulations are augmented by illustrations, simple examples and a book companion website featuring animations. Readers benefit from a concise and comprehensive treatment of MPC for industrial power electronics, enabling them to understand, implement and advance the field of high-performance MPC schemes.

Book       K                     The Predictive Power of Single Line Patterns of Candlestick Charting

Download or read book K The Predictive Power of Single Line Patterns of Candlestick Charting written by 呂宗勳 and published by 索引數位股份有限公司. This book was released on 2016-07-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Candlestick technical analysis is an old trading technique that tracks the short-term price movements by employing the relationship between open, high, low, and close prices. The purpose of this thesis is to examine the predictive power of candlestick trading strategies by using the Taiwan 151 component stocks daily data for the period from 2 January 1992 to 31 December 2009. The main contribution of this thesis is using a fourprice- level approach to categorize the single-line patterns constructed by candlestick charting in a systematical manner. The approach adopted in this thesis permits us to release for the limitation of recognition in a manner not previously possible. Moreover, we not only consider transaction costs and risk but also mitigate data-snooping problems conscientiously by several appropriate methods, including the bootstrap methodology and sub-sample and out-of-sample tests. We find evidence that four patterns are profitable for the Taiwan stock market after transaction costs, including one bullish pattern and three bearish ones. K線技術分析是一種歷史悠久的交易技巧,它利用開盤價、最高 價、最低價與收盤價來追蹤短期價格的變動。本文的目的是以台灣加權 指數151支成份股,1992年1月2日到2009年12月31日的日資料為樣本來 檢驗K線交易策略的預測能力。最主要的貢獻是本文使用一個系統化的 檢驗方式-四價分析法,這方法可以將單根K線完整地分類。這個方法也 解除了過去對K線型態認定上的限制。另外,我們不只考慮了交易成本 與風險,也用了數種適當的方法來解決資料探勘的問題,包括拔靴法以 及切割樣本和樣本外檢驗。本文的結論發現,在扣除交易成本後,有四 種單根K線確實在台灣股市具有獲利能力,其中包含一個買進訊號與三 個賣出訊號。

Book Handbook of Statistical Analysis and Data Mining Applications

Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Ken Yale and published by Elsevier. This book was released on 2017-11-09 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Book Fundamentals of Clinical Data Science

Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben and published by Springer. This book was released on 2018-12-21 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Book Periodic Tables Unifying Living Organisms At The Molecular Level  The Predictive Power Of The Law Of Periodicity

Download or read book Periodic Tables Unifying Living Organisms At The Molecular Level The Predictive Power Of The Law Of Periodicity written by Antonio Lima-de-faria and published by World Scientific. This book was released on 2017-11-08 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: The DNA sequencing of a series of living organisms has elucidated many biological problems. But the internal atomic and electronic evolution of DNA remains to be mapped in detail. RNA and DNA now appear to be the prime determinants of biological evolution leading to the sudden appearance of novel organism structures and functions that emerge 'ready made' as a surprise to the organism. This has been demonstrated by the manipulation of genes that led to the sudden production of additional complete wings and legs in flies and birds. The study of this internal atomic construction of macromolecules is being investigated at the large electron accelerators such as the MAX IV Synchrotron Radiation Laboratory, Lund University, Sweden.The periodicity of the chemical elements is well known from its iconic Table. Significantly, this periodicity can now be seen to extend to the properties of living organisms. Biological properties as different as: flight, vision, luminescence and regeneration, as well as others, show unexpectedly periodic emergence. They resurface, without previous announcement, in most unrelated plant and animal families and they emerge irrespective of whether the organism is a simple invertebrate or a most complex mammal.Moreover, this periodicity does not necessarily start at the cell or DNA levels but appears initially in crystals and minerals, where it is shown to be a pure atomic and electronic process, e.g. in luminescence and regeneration.The assembled molecular evidence led to the construction of Periodic Tables of living organisms, placing them in a position comparable to the periodicity of the chemical elements. Surprisingly, there are striking resemblances between the periodicities of the chemical elements and those of living organisms. In addition, the two types of Tables increase our insight into the events directing atomic evolution since the periodic law established in chemical elements turns out to be applicable to the periodicity of living organisms. The new Periodic Tables introduce a predictive capacity in biological evolution that before was hardly contemplated.Eric Scerri, from the Department of Chemistry and Biochemistry, California University, Los Angeles, who is the Author of the book 'The Periodic Table. Its Story and its Significance', Oxford University Press, stated in an e-mail that 'Professor Lima-de-Faria's book is wonderful and a pioneering work'.

Book The Combination of Stellar Influences

Download or read book The Combination of Stellar Influences written by Reinhold Ebertin and published by American Federation of Astr. This book was released on 1994 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Combination of Stellar Influences is a well-known and popular book that explains the development of cosmobiology, which uses the 90-degree dial, and teaches the methods of this progressive school of astrology. Through the interpretation of the stellar bodies and other astronomical points in the individual's chart, emphasis is placed on the cosmobiological character and the shaping of destiny. The delineation of the various combinations and mid-points is well-defined, easy to follow and to the point. Learn the basic influence and principle characteristics of planetary combinations, as well as their psychological, biological and sociological correspondence and probable manifestation in natal and predictive astrology.

Book Comprehensive Chemometrics

Download or read book Comprehensive Chemometrics written by and published by Elsevier. This book was released on 2009-03-09 with total page 2880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications. This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data. Features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg Examines the merits and limitations of each technique through practical examples and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color) Integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques Consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind Offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect

Book Statistical Power Analysis for the Behavioral Sciences

Download or read book Statistical Power Analysis for the Behavioral Sciences written by Jacob Cohen and published by Routledge. This book was released on 2013-05-13 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Book PID and Predictive Control of Electrical Drives and Power Converters using MATLAB   Simulink

Download or read book PID and Predictive Control of Electrical Drives and Power Converters using MATLAB Simulink written by Liuping Wang and published by John Wiley & Sons. This book was released on 2015-03-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely introduction to current research on PID and predictive control by one of the leading authors on the subject PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains sections on closed-loop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the drives and power supplies, and operational constraints are imposed in the design. Discrete-time model predictive control systems are designed based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft sensors and observers will be discussed for low cost implementation. Resonant control of the electric drives and power supply will be discussed to deal with the problems of bias in sensors and unbalanced three phase AC currents. Brings together both classical control systems and predictive control systems in a logical style from introductory through to advanced levels Demonstrates how simulation and experimental results are used to support theoretical analysis and the proposed design algorithms MATLAB and Simulink tutorials are given in each chapter to show the readers how to take the theory to applications. Includes MATLAB and Simulink software using xPC Target for teaching purposes A companion website is available Researchers and industrial engineers; and graduate students on electrical engineering courses will find this a valuable resource.

Book The Golem

    Book Details:
  • Author : Harry M. Collins
  • Publisher : Cambridge University Press
  • Release : 1998-09-17
  • ISBN : 9780521645508
  • Pages : 220 pages

Download or read book The Golem written by Harry M. Collins and published by Cambridge University Press. This book was released on 1998-09-17 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is the golem? In Jewish mythology the Golem is an effigy or image brought to life. While not evil, it is a strong, clumsy and incomplete servant. Through a series of case studies, ranging from relativity and cold fusion to memory in worms and the sex lives of lizards, Harry Collins and Trevor Pinch debunk the traditional view that science is the straightforward result of competent theorization, observation and experimentation. Scientific certainty is the interpretation of ambiguous results. The very well received first edition generated much debate, reflected in a substantial new Afterword in this new edition, which seeks to place the book in what have become known as 'the science wars'.

Book Model Predictive Control in the Process Industry

Download or read book Model Predictive Control in the Process Industry written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

Book Encyclopedia of Clinical Neuropsychology

Download or read book Encyclopedia of Clinical Neuropsychology written by Jeffrey Kreutzer and published by Springer Science & Business Media. This book was released on 2010-09-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Encyclopedia goes beyond other references in the field to offer concise and comprehensive coverage of assessment, treatment and rehabilitation in a single source, with more than fifteen hundred entries with linked cross-references and suggested readings.

Book In AI We Trust

    Book Details:
  • Author : Helga Nowotny
  • Publisher : John Wiley & Sons
  • Release : 2021-08-19
  • ISBN : 1509548823
  • Pages : 125 pages

Download or read book In AI We Trust written by Helga Nowotny and published by John Wiley & Sons. This book was released on 2021-08-19 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most persistent concerns about the future is whether it will be dominated by the predictive algorithms of AI – and, if so, what this will mean for our behaviour, for our institutions and for what it means to be human. AI changes our experience of time and the future and challenges our identities, yet we are blinded by its efficiency and fail to understand how it affects us. At the heart of our trust in AI lies a paradox: we leverage AI to increase our control over the future and uncertainty, while at the same time the performativity of AI, the power it has to make us act in the ways it predicts, reduces our agency over the future. This happens when we forget that that we humans have created the digital technologies to which we attribute agency. These developments also challenge the narrative of progress, which played such a central role in modernity and is based on the hubris of total control. We are now moving into an era where this control is limited as AI monitors our actions, posing the threat of surveillance, but also offering the opportunity to reappropriate control and transform it into care. As we try to adjust to a world in which algorithms, robots and avatars play an ever-increasing role, we need to understand better the limitations of AI and how their predictions affect our agency, while at the same time having the courage to embrace the uncertainty of the future.