# ST0 MAR introduction (4 slides)

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## Chapter 4 Introduction to Portfolio Theory

... from 1 .4 to -0 .4 This gives us 18 portfolios with weights (xA , xB ) = (−0 .4, 1 .4) , (−0.3, 1.3), , (1.3, −0.3), (1 .4, −0 .4) For each of these portfolios we use q the formulas (2) and (3) to compute ... (0 .45 8)2 (0.013) + 2(0. 542 )(0 .45 8) = 0.015, and the standard deviation of the tangency portfolio is q √ σ T = σ = 0.015 = 0.1 24 T The eﬃcient portfolios now are combinations of the tangency portfolio ... investments in the two stocks The investor s problem is to decide how much wealth to put in asset A and how much to put in asset B Let xA denote the share of wealth invested in stock A and xB denote...
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## Tài liệu Introduction to CSharp 4.0 doc

... 20 }); Dynamic Language object GetCalculator(); int sum == Convert.ToInt32(res); ScriptObject calc == GetCalculator(); int sum Convert.ToInt32(res); ScriptObject calc object res == calc.Invoke("Add", ... sum == Convert.ToInt32(res); int sum Convert.ToInt32(res); Statically typed Statically typed to be dynamic to be dynamic dynamic calc == GetCalculator(); dynamic calc GetCalculator(); int sum ... Binder Calculator calc == GetCalculator(); Calculator calc GetCalculator(); int sum == calc.Add(10, 20); int sum calc.Add(10, 20); NET object NET object object calc == GetCalculator(); object...
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## Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

... same data! 10 © Tan,Steinbach, Kumar Introduction to Data Mining Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data ... P(C2) = 4/ 6 Error = – max (2/6, 4/ 6) = – 4/ 6 = 1/3 Introduction to Data Mining 43 Comparison among Splitting Criteria For a 2-class problem: © Tan,Steinbach, Kumar Introduction to Data Mining 44 Misclassification ... > Yes 3 3 2 3 3 No 4 4 Gini © Tan,Steinbach, Kumar 0 .42 0 0 .40 0 0.375 0. 343 0 .41 7 Introduction to Data Mining 0 .40 0 0.300 0. 343 0.375 0 .40 0 0 .42 0 37 Alternative Splitting Criteria...
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## Module 4 An Introduction to Library Automation ppt

... Objective of Module To introduce the information professional to Library Automation Library Automation has many benefits both for the user and the ... correctly and minimize errors in implementation It is important to carefully plan for automation The level of student  Students who will come to study might have basic about using computer before Lesson...
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## ĐÔ THỊ HÓA & PHÁT TRIỂN BỀN VỮNG (Week 3-4, 20 Mar 2012) doc

... & môi trường;  Nhận dạng giải pháp có chi phí thấp;  Ví dụ: vấn đề nước đô thị; giải pháp quản lý & ngăn ngừa ngập lụt; qui hoạch không gian đô thị; … 10 NGUYÊN TẮC QUẢN LÝ ĐÔ THỊ BỀN VỮNG ... TẮC QUẢN LÝ ĐÔ THỊ BỀN VỮNG` NGUYÊN TẮC QUẢN LÝ QUAN TRỌNG HƠN KỸ THUẬT  Triết lý quản lý đô thị; Đô thị sinh thái/Eco-cities? Làng sinh thái?/Eco-villages?  Định hướng đô thị tương lai ... colour) • Glass (coloured) ĐỊNH HƯỚNG 3Rs ĐỐI VỚI QUẢN LÝ CTR ĐÔ THỊ “Waste2Energy” Kim loại quý Chất thải điện tử QUẢN LÝ CHẤT THẢI ĐÔ THỊ BỀN VỮNG??? Có đơn giản??? Dễ dàng???...
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