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    Wine Data Analysis

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    from 18 most popular wineries in west coast US regions. Methodology This dataset contains 10 variables and 890 observations. Through regression of this dataset‚ an equation is created to quantify the correlation between different variables and wine value and therefore make the preudiction of wine value possible. 712 samples are used in the multiple regression models to generate the formula and 178 holdout samples are used to simulate the accuracy of the prediction resulting from the formula‚ which

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    Problem Set 1

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    CS578/STAT590: Introduction to Machine Learning Fall 2014 Problem Set 1 Joon Hee Choi Handed In: 09/14/2014 Review Questions 1. 2. 3. • ∂f ∂x = 6x − y − 11‚ ∂f ∂y • ∂f ∂x = 6x − y − 11 = 0‚ = 2y − x ∂f ∂y = 2y − x = 0 ⇒ x = 2‚ y = 1 ⇒ (x‚ y) = (2‚ 1) • (a) n = 2 w1 x1 and x = . Then‚ w2 x2 wT x + b = w1 x1 + w2 x2 + b = 0 ⇒ −x1b + Let w = w1 x2 − wb =1 2 (b) n = 3     w1 x1 Let w =  w2  and x =  x2  . Then‚ w3 x3 T w x + b = w1 x1 + w2 x2 + w3 x3 + b = 0 ⇒ −x1b + −x2b

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    problem set 4

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    PROBLEM SET 4 1) Consider the following utility functions‚ where W is wealth: (a) U (W ) = W 2 1 (b) U (W ) = W (c) U (W ) = −W (d) U (W ) = W (e) U (W ) = ln(W ) (f) U (W ) = W 1−γ ‚ with γ = 2 1−γ How likely are each of these functions to represent actual investor preferences? Why? 2) Suppose investors have preference described by the following utility function with A > 0: U = E(r) − 1 Aσ 2 2 Each investor has to choose between three portfolios with the following characteristics:

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    au/webapps/portal/frameset.jsp?tab=courses&url=/bin/common/course.pl?course_id=_111213_1&frame=top • You assignment must be in a Word doc format – no pdfs! • When answering questions‚ wherever required‚ you should cut and paste the Excel output (eg‚ plots‚ regression output etc) to show your working on your assignment. • You are required to keep a hard copy and an electronic copy of your submitted assignment to re-submit‚ in case the original submission is lost for some reason. Important Notice:

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    Problem Set 1

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    Problem Set 1 Problem 1 Which project should the firm select? Why? Project B: Managers should try to maximize their stock’s intrinsic value while also bringing in revenue. The P/E ratio shows the dollar amount investors will pay for $1 of current earnings. Problem 2 If most investors expect the same cash flows from Companies A and B but are more confident that A’s cash flows will be closer to their expected value‚ which company should have the higher stock price? Explain. The primary

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    Data Security

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    DATA SECURITY IN LOCAL NETWORK USING DISTRIBUTED FIREWALLS ABSTRACT Computers and Networking have become inseparable by now. A number of confidential transactions occur every second and today computers are used mostly for transmission rather than processing of data. So Network Security is needed to prevent hacking of data and to provide authenticated data transfer. Network Security

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    Problem set 2

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    Other information: Setup costs vary with the number of batches processed in each department. The budgeted number of batches for each product line in each department is as follows: Trophies Plaques Forming department 40 116 Assembly department 43 103 Supervision costs vary with direct labor costs in each department. 1. Calculate the budgeted cost of trophies and plaques based on a single plant-wide overhead rate‚ if total overhead is allocated based

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    Data Communications

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    Short Questions: Differentiate between guided media and unguided media. Differentiate between an analog and a digital electromagnetic signal. What are three important characteristics of a periodic signal. What is the relationship between the wavelength and frequency of a sine wave. Define fundamental frequency. What is the relationship between a signal’s spectrum and its bandwidth. What is attenuation? Define channel capacity. What key factors affect channel capacity? Problems:

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    Tiffany Camp ECO-250 Volker Grzimek Regression Analysis of Work Hours in Relation to GPA This research investigated the affects of working extra hours in a labor position on students’ GPAs each semester at Berea College. It was my belief that students who worked more hours were more likely to have lower GPAs due to their studying abilities and opportunities being compromised as a result of working too long (a negative correlation or trend between GPAs and hours worked each week). For

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    Introduction…………………………………………….. 4 4 1 v vii 2.2 Data and Methodology………………………………….. 5 2.3 Unconditional Poverty Profile: Cross Tabulations……… 6 2.4 Conditional Poverty Profile: Marginal Effects………….. 14 2.5 Conclusion………………………………………………. 24 3. EVALUATING THE IMPACT OF MICROFINANCE ON SAVINGS AND INCOME: QUASI-EXPERIMENTAL APPROACH USING PROPENSITY SCORE MATCHING…… 34 3.1 Introduction………………………………………………. 34 3.2 Microfinance Institutions and Impact Studies……………. 37 3.3 Econometric Methodology and Data……………………... 53 3.4 Results……………………………………………………

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