Products related to Predictive:
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The Predictive Mind
A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world.It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple.Jakob Hohwy explains and explores this theory from the perspective of cognitive science and philosophy.The key argument throughout The Predictive Mind is that the mechanism explains the rich, deep, and multifaceted character of our conscious perception.It also gives a unified account of how perception is sculpted by attention, and how it depends on action.The mind is revealed as having a fragile and indirect relation to the world.Though we are deeply in tune with the world we are also strangely distanced from it. The first part of the book sets out how the theory enables rich, layered perception.The theory's probabilistic and statistical foundations are explained using examples from empirical research and analogies to different forms of inference.The second part uses the simple mechanism in an explanation of problematic cases of how we manage to represent, and sometimes misrepresent, the world in health as well as in mental illness.The third part looks into the mind, and shows how the theory accounts for attention, conscious unity, introspection, self and the privacy of our mental world.
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Model Predictive Control
From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes.The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies.It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. "Model Predictive Control" demonstrates that a powerful technique does not always require complex control algorithms.The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications. All of the material is thoroughlyupdated for the second edition with the chapters on nonlinear MPC, MPC andhybrid systems and MPC implementation being entirely new.Many new exercisesand examples have also have also been added throughout and MATLAB® programsto aid in their solution can be downloaded from extras.springer.com. The text is an excellent aid for graduate and advanced undergraduate studentsand will also be of use to researchers and industrial practitioners wishing tokeep abreast of a fast-moving field.
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Predictive Analytics For Dummies
Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future.All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast.With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data.In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification.Along the way, you'll develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get you stakeholder buy-in.Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day.If you want to get in on the action and either learn or deepen your understanding of how to use predictive analytics to find real relationships between what you know and what you want to know, everything you need is a page away!Offers common use cases to help you get startedCovers details on modeling, k-means clustering, and moreIncludes information on structuring your dataProvides tips on outlining business goals and approaches The future starts today with the help of Predictive Analytics For Dummies.
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Effective CRM using Predictive Analytics
A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects.The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues. Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers.The book will also be useful to academics and students interested in applied data mining.
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How can one block a telephone number, for example 01771700383, at Telekom if being harassed by a predictive dialer?
To block a telephone number like 01771700383 at Telekom, you can contact their customer service and request to have the number blocked. You can also use the call blocking feature on your phone, if available, to block the specific number. Additionally, you can register your number on the national "Do Not Call" registry to reduce the number of unwanted calls from predictive dialers. If the harassment persists, you may consider filing a complaint with the relevant authorities.
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Can Aboriginal people have light skin?
Yes, Aboriginal people can have light skin. The skin color of Aboriginal people, like any other group of people, can vary widely. This variation is due to a combination of genetic factors and environmental influences. It is important to recognize and respect the diversity within the Aboriginal community, including differences in skin color.
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Kangaroo species
Kangaroos are marsupials native to Australia and are known for their powerful hind legs, large feet, and long tails. There are four main species of kangaroos: the red kangaroo, eastern grey kangaroo, western grey kangaroo, and antilopine kangaroo. Each species has its own unique characteristics and can be found in different regions of Australia. Kangaroos are herbivores and primarily feed on grasses, leaves, and shrubs.
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'Kangaroo species'
Kangaroos are marsupials native to Australia and are known for their powerful hind legs, large feet, and long tails. There are four main species of kangaroos: the red kangaroo, eastern grey kangaroo, western grey kangaroo, and antilopine kangaroo. These species vary in size, with the red kangaroo being the largest and the antilopine kangaroo being the smallest. Kangaroos are herbivores and are well adapted to the Australian outback, using their strong legs to hop long distances and their tails for balance.
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Predictive Analytics : Modeling and Optimization
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.This book provides the most recent advances in the field along with case studies and real-world examples.It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management.It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples.The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management.Students taking courses in these areas will also find this book of interest.
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Predictive Policing and Artificial Intelligence
This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas.Predictive and AI technologies are growing in prominence and at an unprecedented rate.Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability.Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics.Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms.However, the promises of predictive and AI technologies and innovations do not always match reality.They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made.Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts.The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.
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Modern Vulnerability Management: Predictive Cybersecurity
This book comprehensively covers the principles of Risk-based vulnerability management (RBVM) - one of the most challenging tasks in cybersecurity -- from the foundational mathematical models to building your own decision engine to identify, mitigate, and eventually forecast the vulnerabilities that pose the greatest threat to your organization.You will learn: how to structure data pipelines in security and derive and measure value from them; where to procure open-source data to better your organization's pipeline and how to structure it; how to build a predictive model using vulnerability data; how to measure the return on investment a model in security can yield; which organizational structures and policies work best, and how to use data science to detect when they are not working in security; and ways to manage organizational change around data science implementation. You'll also be shown real-world examples of how to mature an RBVM program and will understand how to prioritize remediation efforts based on which vulnerabilities pose the greatest risk to your organization.The book presents a fresh approach, rooted in risk management, and taking advantage of rich data and machine learning, helping you focus more on what matters and ultimately make your organization more secure with a system commensurate to the scale of the threat. This is a timely and much-needed book for security managers and practitioners who need to evaluate their organizations and plan future projects and change.Students of cybersecurity will also find this a valuable introduction on how to use their skills in the enterprise workplace to drive change.
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ISE Predictive Analytics for Business Strategy
Designed for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy, 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties.Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not.
Price: 56.99 £ | Shipping*: 0.00 £
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'Sydney or Melbourne?'
Both Sydney and Melbourne are vibrant cities in Australia with their own unique charm. Sydney is known for its iconic landmarks such as the Sydney Opera House and Harbour Bridge, as well as its beautiful beaches. Melbourne, on the other hand, is famous for its diverse food scene, cultural events, and street art. Ultimately, the choice between Sydney and Melbourne depends on personal preferences, whether you prefer the beach lifestyle of Sydney or the arts and culture scene of Melbourne.
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Who knows Sydney?
Sydney is known by a wide range of people, including its residents, tourists, historians, and those interested in Australian culture and history. Locals and tourists alike are familiar with the city's iconic landmarks such as the Sydney Opera House and Sydney Harbour Bridge. Historians and researchers are knowledgeable about the city's colonial history and its significance in the development of Australia. Additionally, people interested in Australian culture and lifestyle are likely to have some knowledge of Sydney and its influence on the country's identity.
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What are the musical characteristics of Aboriginal music?
Aboriginal music is characterized by its use of traditional instruments such as the didgeridoo, clapsticks, and bullroarer. It often features a strong rhythmic element, with complex and intricate rhythms created through vocalizations and percussion. The music is also known for its use of vocal harmonies and call-and-response patterns. Additionally, Aboriginal music often reflects the connection to the natural world and the land, with lyrics and themes that celebrate the environment and traditional stories.
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What is the Outback hinterland?
The Outback hinterland refers to the remote and sparsely populated inland regions of Australia, away from the coastal areas. It is characterized by its vast open spaces, arid landscapes, and rugged terrain. The Outback hinterland is home to unique flora and fauna, as well as Indigenous communities who have lived in harmony with the land for thousands of years. This region is often seen as a symbol of the Australian outback lifestyle and is a popular destination for those seeking adventure and a connection to nature.
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