DL_Unit-5

Roll Number

Which application involves dividing an image into segments to identify and analyze objects or regions within the image?

• Image segmentation

• Self-Driving Cars

• News Aggregation

• Natural Language Processing

In which domain do algorithms play a crucial role in enabling vehicles to navigate without human intervention, using sensors and perception technology?

• • Image segmentation

• • Self-Driving Cars

• News Aggregation

• • Virtual Assistants

In the context of news aggregation, what challenges might machine learning algorithms face when distinguishing between genuine and fraudulent news sources?

• • Predicting weather patterns

• • Analyzing complex medical data

• • Identifying patterns of misinformation and deceptive content

• • Recognizing objects and scenes in images

In the context of visual recognition, explain the significance of convolutional neural networks (CNNs) and their role in identifying intricate details in images or videos.

• • CNNs are irrelevant in visual recognition tasks

• • CNNs provide a high-level understanding of image content without focusing on intricate details

• • CNNs use convolutional layers to capture complex spatial hierarchies and patterns, enabling fine-grained recognition

• • CNNs are only effective in speech recognition applications

Discuss the role of explainability in machine learning models applied to fraud detection, emphasizing the importance of transparency and interpretability in decision-making processes.

• • Explainability is irrelevant in fraud detection

• • Transparent and interpretable models are essential in fraud detection to understand and trust the decision-making processes, ensuring accountability and fairness

• • Fraud detection models are inherently transparent, and explainability is unnecessary

• • Interpretability is only important in visual recognition tasks, not in fraud detection

How can machine learning contribute to news aggregation in addressing the challenge of information overload and providing users with personalized content?

• By categorizing news articles based on word count

• By using sentiment analysis to identify emotionally impactful stories

• By recommending articles tailored to individual preferences and interests

• By randomizing the selection of news articles

Explore the role of machine learning algorithms in personalized healthcare, emphasizing their contribution to patient-centric care plans, disease prediction, and treatment optimization.

• Machine learning has no role in personalized healthcare

• By analyzing patient data to create tailored care plans, predict disease risks, and optimize treatment strategies

• Personalized healthcare is not achievable through machine learning algorithms

• Machine learning only contributes to diagnostic tasks in healthcare