B. Las partes del cuerpo: Unas identificaciones. Professiona…
B. Las partes del cuerpo: Unas identificaciones. Professionals from the Wexner Medical Center are working with a local interpreter to practice medical terminology in Spanish. For each description, type the most logical body part in the space provided. Be sure to include a definite article (i.e., el/la/los/las). Do not repeat words, expressions or the model. (1½ pts. each: ½ pt. for correct article, 1 pt. for appropriate word; 7.5 pts. total) MODELO:(You read): Normalmente tenemos uno, lo usamos para digerir la comida. (You type): el estómago 1. [1] Normalmente tenemos dos y los usamos para ver. 2. [2] Normalmente tenemos dos y las usamos para escuchar música. 3. [3] Normalmente tenemos dos y los usamos para respirar. 4. [4] Normalmente tenemos diez y los usamos para andar. 5. [5] Normalmente tenemos una y la usamos para hablar y comer.
Read DetailsPresent value (PV) reflects the current value of a future pa…
Present value (PV) reflects the current value of a future payment or receipt. What will be the present value of $121 to be received 1 year from today if the discount rate is 10%? Note: F V = the future value of the investment at the end of n yearsn = number of years until payment is receivedr = the interest rateP V = the present value of the future sum of money
Read DetailsFuture value (FV) is the amount a sum will grow to in a cert…
Future value (FV) is the amount a sum will grow to in a certain number of years when compounded at a specific rate. What will be the F V of $100 in 2 years at interest rate of 10% (i.e., r=0.1) ? Cash Flow Table: Year Cash Flow Interest Earned Future Value 0 100 0 100 1 0 10 (=100 × 0.10) 110 2 0 11 (=110 × 0.10) ________ Note: F V = the future of the investment at the end of “n” yearsr = the annual interest (or discount) rate n = number of yearsP V = the present value, or original amount invested at the beginning of the first year
Read DetailsSupervised learning models need to find out optimal hyperpar…
Supervised learning models need to find out optimal hyperparameters during the split-test to minimize overfitting and evaluating the predictive performance. Overfitting means a machine learning model is trained with the training dataset and performs well with the training dataset. However, the trained model does not perform well for new data (out-of-sample prediction; generalization). During the training step in the split test, we find out the optimal hyperparameters to avoid overfitting, If we select the optimal hyperparameter during the training step, the optimal hyperparameter should be selected at Area B (dash line). In addition, in this case (training step), the generalization loss is validation set loss. During the training step in the hold out split test for a supervised learning model, • 1. SL model trained with the (1) ___________ dataset • 2. Trained SL model predicts labels in (2)__________ dataset using features in (2)__________ dataset • 3. Repeat the process steps 1 and 2 with different hyperparameters • 4. Finding out the best hyperparameter for the SL model to avoid overfitting During the test step in the hold out split test for a supervised learning model,, • 1. Training SL model with (3)___________ dataset with the optimal hyperparameter • 2. Predict labels in (4)_________ dataset with the trained SL model in Step 1 • 3. Evaluate the model performance
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