A Machine Learning Specialist Works for a Fruit Processing Company

question 57

Multiple Choice

A machine learning specialist works for a fruit processing company and needs to build a system that categorizes apples into three types. The specialist has collected a dataset that contains 150 images for each type of apple and applied transfer learning on a neural network that was pretrained on ImageNet with this dataset. The company requires at least 85% accuracy to make use of the model. After an exhaustive grid search, the optimal hyperparameters produced the following: 68% accuracy on the training set 67% accuracy on the validation set What can the machine learning specialist do to improve the system's accuracy?

• A) Upload the model to an Amazon SageMaker notebook instance and use the Amazon SageMaker HPO feature to optimize the model's hyperparameters.
• B) Add more data to the training set and retrain the model using transfer learning to reduce the bias.
• C) Use a neural network model with more layers that are pretrained on ImageNet and apply transfer learning to increase the variance.
• D) Train a new model using the current neural network architecture.

Describe strategies for supply chain risk management, including supplier diversification.

Understand the concept and implications of the bullwhip effect in supply chains.

Calculate and interpret the bullwhip measure to assess supply chain volatility.

Differentiate between strategies that exacerbate vs. mitigate the bullwhip effect.

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Definitions:

Social Cognitive Theory

A theory suggesting that people learn through observation, imitation, and modeling, incorporating the effects of behavior, environment, and cognition.

Analytical Theory

A framework or model that uses analysis to explain phenomena or solve problems.

Person-Centred Theory

A psychological approach that emphasizes the importance of the individual's own perspective and innate self-healing process.

Variable Behavior

Behavior that changes or varies due to different conditions or factors, not remaining constant.