Risk Management: Risk management refers to the mitigation of risk. It is defined as a process of discovering, analyzing, and assessing the risks to an organization’s operations. It also determines how these risks can be controlled and mitigated. The various sources of risk include uncertainty in financial markets, legal liabilities, threats from project failures, credit risk, etc. Several risk management standards was developed such as Project Management Institute, the National Institute of Standards and Technology, and ISO standards.

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Chapter 6, Problem 5RQ

Program Plan Intro

Risk Management:

Risk management refers to the mitigation of risk.

It is defined as a process of discovering, analyzing, and assessing the risks to an organization’s operations.

It also determines how these risks can be controlled and mitigated.

The various sources of risk include uncertainty in financial markets, legal liabilities, threats from project failures, credit risk, etc.

Several risk management standards was developed such as Project Management Institute, the National Institute of Standards and Technology, and ISO standards.

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Please provide me with the output image of both of them . below are the diagrams code I have two diagram : first diagram code graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…