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    Business Intelligence

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    Business Intelligence Definitions • Data mining (knowledge discovery in databases): – Extraction of interesting (non-trivial‚ implicit‚ previously unknown and potentially useful) information or patterns from data in large databases • Data mining helps end users extract useful business information from large databases • Data mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. • The goal of data mining may be to allow a corporation

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    Artificial Intelligence

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    6.825 Techniques in Artificial Intelligence What is Artificial Intelligence (AI)? Lecture 1 • 1 If you’re going to teach or take an AI course‚ it’s useful to ask: "What’s AI?" It’s a lot of different things to a lot of different people. Let’s go through a few things that AI is thought to be and situate them within the broader picture of AI. 1 6.825 Techniques in Artificial Intelligence What is Artificial Intelligence (AI)? • Computational models of human behavior? • Programs

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    DIVISIONAL PERFORMANCE MEASUREMENT The objective of divisional performance measurement is to develop performance measurement systems for divisions that are significant investment centers in large organizations. Such systems should: (1) provide information for economic decisions‚ (2) facilitate the control of division operations‚ (3) motivate managers to achieve high levels of divisional performance so as to further the objectives of the entire organization‚ and (4) serve as a basis for evaluating

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    Lab 1 “Laboratory Techniques and Measurements” A. Water boils at 100C at sea level. If the water in this experiment did not boil at 100 C‚ what could be the reason? * We’re not at sea level; the pressure could be lower or higher. B. While heating two different samples of water at sea level‚ one boils at 102C and one boils at 99.2C. Calculate the percent error for each sample from the theoretical 100C. (show your work) * 1st Sample: 1.96% error * 2nd Sample: 0.81% error

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    ARTIFICIAL INTELLIGENCE

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    ARTIFICIAL INTELLIGENCE Contents : Abstract : Introduction : History : Concepts : Branches of AI : Artificial Intelligence in fiction : Problems o 7.1 Deduction‚ reasoning‚ problem solving o 7.2 Knowledge representation o 7.3 Planning o 7.4 Learning o 7.5 Motion & manipulation o 7.6 Perception o 7.7 Social intelligence o 7.8 Creativity o 7.9 General intelligence  VIII : Tools o 8.1 Search & optimization o 8.2 Logic o 8.3 Probabilistic methods for uncertain reasoning

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    flow measurement report

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    ME 4600:483 – Lab Notes Revised 04/07/05 Flow Measurement Table of Contents Flow Measurement ......................................................................................................................... 1 I. Objective ................................................................................................................................. 1 II. Apparatus...................................................................................................................

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    Multiple Intelligence

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    Frames of Mind‚ he proposes that there are seven main areas in which all people have special skills; he calls them intelligences. His research at Harvard University was in response to the work that Alfred Binet had done in France around 1900. Binet’s work led to the formation of an intelligence test; we are all familiar with the "intelligence quotient‚" or "IQ‚" the way that intelligence is measured on his test. This type of IQ test was used as the basis of another one with which most of us are

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    definition

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    distinguishes from low intelligence or mental deficiency due to age or injury. Insanity may manifest as violations of societal norms‚ including a person becoming a danger to themselves or others‚ though not all such acts are considered insanity. In modern usage insanity is most commonly encountered as an informal unscientific term denoting mental instability‚ or in the narrow legal context of the insanity defense. In the derivation of the word insanity lies its definition. In English‚ the word

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    FALL 2012 ME 305 FLUID MECHANICS I EXPERIMENT 1 MEASUREMENT OF FLUID PROPERTIES PREPARATION: In this course‚ you will conduct the experiments at the Fluid Mechanics Laboratory‚ by yourselves‚ without any help or instruction from the teaching assistants. You must read the lab sheet thoroughly and understand what you are expected to do (and why) for each experiment‚ before coming to the lab. At the end of each experiment‚ you will have to do certain calculations‚ present and plot (when asked)

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    Laboratory Techniques and Measurements Choose any three objects that are shorter than the metric ruler to measure‚ such as a CD‚ Key‚ spoon etc. OBJECT | LENGTH (cm) | LENGHTH (mm) | ruler | 30.5 cm | 305 mm | thermometer | 15.1 cm | 151 mm | pencil | 16.7 cm | 167 mm | Warm Temperature Measurements * Fill a 100 a 100mL beaker with 50mL of hot water. Get the water as hot as possible. * Use thermometer to measure the temperature of the water in the beaker using Celsius unit

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