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- summarize the value of a data model in the context of the conventional approach to a strength predictionAssess the effectiveness of a data model in relation to the conventional approach of strength prediction.153. In the network model, the one to many relationship is denoted by a. 1:N b. 1:M c. 2:M d. 3:M
- Named Entity Recognition (NER): Refer to the course material on sequence tagging, which trains a POS tagger. Download and load the CoNLL-03 data. Instead of a POS tagger, train an NER model. How does the model perform? What do you think about its performance? If you have the time, try to find what are the most common named entities?Draw the Attribute Tree from the integrated relational schema.compare the utility of a data model to the classic strength prediction technique
- Outline the most effective methods for creating data-flow diagrams.What is the primary purpose of a generative adversarial network model? Group of answer choices Image classification Learning on sequence data Find latest space representation of the input data Generate synthetic dataCompare and contrast the use of a normalized histogram. A normalized histogram without its non-normalized counterpart is acceptable?
- Convert the given Conceptual ER Diagram into MYSQL (write code). Include and show primary key and foreign key of relationship.As a benchmark, use a normalized histogram. Is the absence of a non-normalized histogram in a normalized histogram acceptable?What exactly is the difference between a smooth model and a layered model in terms of VES modeling?