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Goldilocks Process
The Goldilocks principle is named by analogy to the children's story " The Three Bears", in which a young girl named Goldilocks tastes three different bowls of porridge and finds she prefers porridge that is neither too hot nor too cold, but has just the right temperature. The concept of "just the right amount" is easily understood and applied to a wide range of disciplines, including developmental psychology, biology, astronomy, economics and engineering. Applications *In cognitive science and developmental psychology, the Goldilocks effect or principle refers to an infant's preference to attend to events that are neither too simple nor too complex according to their current representation of the world. This effect was observed in infants, who are less likely to look away from a visual sequence when the current event is moderately probable, as measured by an idealized learning model. *In astrobiology, the Goldilocks zone refers to the habitable zone around a star. As St ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Goldilocks And The Three Bears
"Goldilocks and the Three Bears" (originally titled "The Story of the Three Bears") is a 19th-century English fairy tale of which three versions exist. The original version of the tale tells of an obscene old woman who enters the forest home of three bachelor bears while they are away. She eats some of their porridge, sits down on one of their chairs and breaks it, and sleeps in one of their beds. When the bears return and discover her, she wakes up, jumps out of the window, and is never seen again. The second version replaced the old woman with a young girl named Goldilocks, and the third and by far best-known version replaced the original bear trio with Papa Bear, Mama Bear, and Baby Bear. What was originally a frightening oral tale became a cosy family story with only a hint of menace. The story has elicited various interpretations and has been adapted to film, opera, and other media. "Goldilocks and the Three Bears" is one of the most popular fairy tales in the English la ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Houghton Mifflin Harcourt
Houghton Mifflin Harcourt (; HMH) is an American publisher of textbooks, instructional technology materials, assessments, reference works, and fiction and non-fiction for both young readers and adults. The company is based in the Financial District, Boston, Boston Financial District. It was formerly known as Houghton Mifflin Company, but it changed its name following the 2007 acquisition of Harcourt (publisher), Harcourt Publishing. Prior to March 2010, it was a subsidiary of EMPG, Education Media and Publishing Group Limited, an Irish-owned holding company registered in the Cayman Islands and formerly known as Riverdeep. History Ticknor and Allen, 1832 In 1832, William Ticknor and John Allen purchased a bookselling business in Boston and began to involve themselves in publishing; James T. Fields joined as a partner in 1843. Fields and Ticknor gradually gathered an impressive list of writers, including Ralph Waldo Emerson, Nathaniel Hawthorne, and Henry David Thoreau. The d ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Design Sprint
A design sprint is a time-constrained, five-phase process that uses design thinking with the aim of reducing the risk when bringing a new product, service or a feature to the market. The process aims to help teams to clearly define goals, validate assumptions and decide on a product roadmap before starting development. It seeks to address strategic issues using interdisciplinary expertise, rapid prototyping, and usability testing. This design process is similar to Sprints in an Agile development cycle. How it started There are multiple origins to the concept of mixing Agile and Design Thinking. The most popular was developed by a multi-disciplinary team working out of Google Ventures. The initial iterations of the approach were created by Jake Knapp, and popularised by a series of blog articles outlining the approach and reporting on its successes within Google. As it gained industry recognition, the approach was further refined and added to by other Google staff including B ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Linear Regression
In statistics, linear regression is a linear approach for modelling the relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables). The case of one explanatory variable is called '' simple linear regression''; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable. In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models. Most commonly, the conditional mean of the response given the values of the explanatory variables (or predictors) is assumed to be an affine function of those values; less commonly, the conditional median or some other quantile is used. Like all forms of regression analysis, linear regression focuses on ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Statistics
Statistics (from German language, German: ''wikt:Statistik#German, Statistik'', "description of a State (polity), state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of statistical survey, surveys and experimental design, experiments.Dodge, Y. (2006) ''The Oxford Dictionary of Statistical Terms'', Oxford University Press. When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey sample (statistics), samples. Representative sampling as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Communication
Communication (from la, communicare, meaning "to share" or "to be in relation with") is usually defined as the transmission of information. The term may also refer to the message communicated through such transmissions or the field of inquiry studying them. There are many disagreements about its precise definition. John Peters argues that the difficulty of defining communication emerges from the fact that communication is both a Universality (philosophy), universal phenomenon and a Communication studies, specific discipline of institutional academic study. One definitional strategy involves limiting what can be included in the category of communication (for example, requiring a "conscious intent" to persuade). By this logic, one possible definition of communication is the act of developing Semantics, meaning among Subject (philosophy), entities or Organization, groups through the use of sufficiently mutually understood signs, symbols, and Semiosis, semiotic conventions. An im ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Product Differentiation
In economics and marketing, product differentiation (or simply differentiation) is the process of distinguishing a product or service from others to make it more attractive to a particular target market. This involves differentiating it from competitors' products as well as from a firm's other products. The concept was proposed by Edward Chamberlin in his 1933 book, '' The Theory of Monopolistic Competition''. Rationale Firms have different resource endowments that enable them to construct specific competitive advantages over competitors. Resource endowments allow firms to be different, which reduces competition and makes it possible to reach new segments of the market. Thus, differentiation is the process of distinguishing the differences of a product or offering from others, to make it more attractive to a particular target market. Although research in a niche market may result in changing a product in order to improve differentiation, the changes themselves are not diff ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bull Market
A market trend is a perceived tendency of financial markets to move in a particular direction over time. Analysts classify these trends as ''secular'' for long time-frames, ''primary'' for medium time-frames, and ''secondary'' for short time-frames. Traders attempt to identify market trends using technical analysis, a framework which characterizes market trends as predictable price tendencies within the market when price reaches support and resistance levels, varying over time. A market trend can only be determined in hindsight, since at any time prices in the future are not known. Market terminology The terms "bull market" and "bear market" describe upward and downward market trends, respectively, and can be used to describe either the market as a whole or specific sectors and securities. The terms come from London's Exchange Alley in the early 18th century, where traders who engaged in naked short selling were called "bear-skin jobbers" because they sold a bear's skin (the s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Bear Market
A market trend is a perceived tendency of financial markets to move in a particular direction over time. Analysts classify these trends as ''secular'' for long time-frames, ''primary'' for medium time-frames, and ''secondary'' for short time-frames. Traders attempt to identify market trends using technical analysis, a framework which characterizes market trends as predictable price tendencies within the market when price reaches support and resistance levels, varying over time. A market trend can only be determined in hindsight, since at any time prices in the future are not known. Market terminology The terms "bull market" and "bear market" describe upward and downward market trends, respectively, and can be used to describe either the market as a whole or specific sectors and securities. The terms come from London's Exchange Alley in the early 18th century, where traders who engaged in naked short selling were called "bear-skin jobbers" because they sold a bear's skin (the s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Commodities
In economics, a commodity is an economic good, usually a resource, that has full or substantial fungibility: that is, the market treats instances of the good as equivalent or nearly so with no regard to who produced them. The price of a commodity good is typically determined as a function of its market as a whole: well-established physical commodities have actively traded spot and derivative markets. The wide availability of commodities typically leads to smaller profit margins and diminishes the importance of factors (such as brand name) other than price. Most commodities are raw materials, basic resources, agricultural, or mining products, such as iron ore, sugar, or grains like rice and wheat. Commodities can also be mass-produced unspecialized products such as chemicals and computer memory. Popular commodities include crude oil, corn, and gold. Other definitions of commodity include something useful or valued and an alternative term for an economic good or service avail ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Monetary Policy
Monetary policy is the policy adopted by the monetary authority of a nation to control either the interest rate payable for very short-term borrowing (borrowing by banks from each other to meet their short-term needs) or the money supply, often as an attempt to reduce inflation or the interest rate, to ensure price stability and general trust of the value and stability of the nation's currency. Monetary policy is a modification of the supply of money, i.e. "printing" more money, or decreasing the money supply by changing interest rates or removing excess reserves. This is in contrast to fiscal policy, which relies on taxation, government spending, and government borrowing as methods for a government to manage business cycle phenomena such as recessions. Further purposes of a monetary policy are usually to contribute to the stability of gross domestic product, to achieve and maintain low unemployment, and to maintain predictable exchange rates with other currencies. Monetary ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
