### Q1: What is TensorFlow primarily used for in the context of machine learning?  
### Q2: How does PyTorch's dynamic computation graph enhance its usability for AI/ML projects?  
### Q3: What advantages does Scikit-learn offer to beginners in machine learning?  
### Q4: In what ways can TensorFlow's capabilities be applied to stock price prediction models in finance?  
### Q5: Describe a scenario in which PyTorch's flexibility would be crucial for developing a fraud detection system.  
### Q6: How can Scikit-learn facilitate the creation of customer segmentation models based on transaction data?  
### Q7: How would you effectively communicate the benefits of using TensorFlow to a non-technical stakeholder in your company?  
### Q8: What strategies could you use to convey complex AI/ML concepts from PyTorch to team members with varying levels of technical expertise?  
### Q9: How can you enhance your communication skills to ensure clear understanding of Scikit-learn's applications among your business team?