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Earth is long since dead. On a colony planet, a band of men has gained control of technology, made themselves immortal, and now rules their world as the gods of the Hindu pantheon. Only one dares oppose them: he who was once Siddhartha and is now Mahasamatman. Binder of Demons. Lord of Light.
This directory for those suffering from a mental condition, their families, and professionals lists resources such as organizations, books, websites, and agencies for 27 mental health disorders in addition to pediatric and adolescent conditions. Disorders are first described, with information on symptoms, prevalence, and treatment, followed by a list of related resources, information on them, and contact or publication details. Associations, organizations, agencies, professional support and services, publishers, facilities, resources for clinical management, and pharmaceutical companies are then listed. Included is an article on developments and controversies in mental health by Nada Stotland, a professor of psychiatry and obstetrics and gynecology at Rush Medical Center in Chicago.
Provides activities for students to improve skills in vocabulary, reading, and writing for effective communication.
A high-level, informal look at the different stages of the predictive analytics cycle Understanding the Predictive Analytics Lifecycle covers each phase of the development of a predictive analytics initiative. Through the use of illuminating case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book successfully illustrates each phase of the predictive analytics cycle to create a playbook for future projects. Predictive business analytics involves a wide variety of inputs that include individuals' skills, technologies, tools, and processes. To create a successful analytics program or project to gain forward-looking insight into making business decisions and actions, all of these factors must properly align. The book focuses on developing new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions. The book includes: An overview of all relevant phases: design, prepare, explore, model, communicate, and measure Coverage of the stages of the predictive analytics cycle across different industries and countries A chapter dedicated to each of the phases of the development of a predictive initiative A comprehensive overview of the entire analytic process lifecycle If you're an executive looking to understand the predictive analytics lifecycle, this is a must-read resource and reference guide.