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Točke II, IV, V i VI popunjava podnositelj zahtjeva, točke I i III popunjava isplatitelj, a točku VII popunjava inozemno porezno tijelo. Popunjeni i potpisani primjerci obrasca predaju se inozemnim. Data Mining with R, learning with case studies. Driver tuner dm 800 clone no ca found error codes.

• 3.1 Problem Description and Objectives • 3.2 The Available Data • 3.2.1 Handling time dependent data in R • 3.2.2 Reading the data from the CSV file • 3.2.3 Getting the data from the Web • 3.2.4 Reading the data from a MySQL database • 3.3 Defining the Prediction Tasks • 3.3.1 What to predict? • 3.3.2 Which predictors? • 3.3.3 The prediction tasks • 3.3.4 Evaluation criteria • 3.4 The Prediction Models • 3.4.1 How will the training data be used? • 3.4.2 The modeling tools • 3.5 From Predictions into Actions • 3.5.1 How will the predictions be used? • 3.5.2 Trading-related evaluation criteria • 3.5.3 Putting everything together: a simulated trader • 3.6 Model Evaluation and Selection • 3.6.1 Monte Carlo estimates • 3.6.2 Experimental comparisons • 3.6.3 Results analysis • 3.7 The Trading System • 3.7.1 Evaluation on the final test data • 3.7.2 An online trading system • 3.8 Summary.