Database Concepts (7th Edition)
Database Concepts (7th Edition)
7th Edition
ISBN: 9780133544626
Author: David M. Kroenke, David J. Auer
Publisher: PEARSON
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Chapter 3, Problem 3.39RQ
Program Plan Intro

SQL:

  • SQL stands for “Structured Query Language”.
  • The current version of SQL is “ANSI SQL – 92”.
  • SQL is not a programming language. It is text-based and it is also called as data sublanguage.
    • In order to get SQL as a complete programming language, it should be included in scripting languages like Java, C#, and so on.
  • It contains constructs which are used to define and process database. They are executed using DBMS-supplied command prompt.
  • Some of the DBMS products provide GUI tools in order to perform tasks are as follows:
    •  SQL Server
    • Oracle Database
    • MySQL

Display values from table:

The contents from the table can be viewed by using “SELECT” statement which comes under Data Manipulation Language (DML). Syntax to view the contents using asterisk (*) is as follows:

SELECT * FROM table_Name;

Columns can also be retrieved by replacing all the column names in place of the asterisk symbol.

“JOIN ON” Syntax:

The “JOIN ON” syntax is usually used to join two or more than two tables. This syntax usually works with “WHERE” clause. The keyword  “JOIN” is normally placed between the table names in the SQL FROM clause. The keyword “ON” includes the matching key values.

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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)…
I'm reposting my question again please make sure to avoid any copy paste from the previous answer because those answer did not satisfy or responded to the need that's why I'm asking again  The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges…
The knowledge distillation part is not very clear in the diagram. Please create two new diagrams by separating the two student models: First Diagram (Student A - Missing Values): Clearly illustrate the student training process. Show how knowledge distillation happens between the teacher and Student A. Explain what the teacher teaches Student A (e.g., handling missing values) and how this teaching occurs (e.g., through logits, features, or attention). Second Diagram (Student B - Missing Labels): Similarly, detail the training process for Student B. Clarify how knowledge distillation works between the teacher and Student B. Specify what the teacher teaches Student B (e.g., dealing with missing labels) and how the knowledge is transferred. Since these are two distinct challenges (missing values vs. missing labels), they should not be combined in the same diagram. Instead, create two separate diagrams for clarity. For reference, I will attach a second image…

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Database Concepts (7th Edition)

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