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The CDBG program was enacted in 1974 by President Gerald Ford through the Housing and Community Development Act of 1974 and took effect in January 1975. Most directly, the law was a response to the Nixon administration's 1973 funding moratorium on many Department of Housing and Urban Development (HUD) programs.
The California Department of Housing and Community Development (HCD) is a department within the California Business, Consumer Services and Housing Agency that develops housing policy and building codes (i.e. the California Building Standards Code), regulates manufactured homes and mobile home parks, and administers housing finance, economic development and community development programs.
Cognitive behavioral training (CBTraining) is a cognitive-based process designed with the aim to systematically break down emotionally driven dependencies and behaviors, replacing them with behaviors that are based on rational choice. [4]
Non-profit housing developers build affordable housing for individuals under-served by the private market. The non-profit housing sector is composed of community development corporations (CDC) and national and regional non-profit housing organizations whose mission is to provide for the needy, the elderly, working households, and others that the private housing market does not adequately serve.
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Cognitive processing therapy (CPT) is a manualized therapy used by clinicians to help people recover from posttraumatic stress disorder (PTSD) and related conditions. [1] It includes elements of cognitive behavioral therapy (CBT) treatments, one of the most widely used evidence-based therapies. [2]
Erhard Seminars Training, Inc. (marketed as est, though often encountered as EST or Est) was an organization founded by Werner Erhard in 1971 that offered a two-weekend (6-day, 60-hour) course known officially as "The est Standard Training". The purpose of the training was to use concepts loosely based on Zen Buddhism for self improvement. The ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]