Marketing Analytics week 10
Mastering Marketing Analytics
Test your knowledge on Marketing Analytics with our engaging quiz! Designed for those curious about the ways machine learning and artificial intelligence shape marketing strategies, this quiz covers a variety of crucial topics.
You'll encounter questions like:
- Unsupervised learning in marketing
- Deep learning's role in data processing
- AI's impact on human customer interactions
Which of the following is part of unsupervised learning?
SVR
Which of the following is NOT a main unsupervised learning task?
Clustering
Association rule learning
Connection detection
Anomaly detection
What type of fitting is seen in the image above?
Under fitting
Over fitting
General fitting
Accurate fitting
Which of the following is NOT true about deep learning?
Inspired by the human brain
Particular effective for low dimensional data
Multiple layers
Capable of learning from raw input data
Which of the following is true for the 'hidden layers' of the inner working of AI?
First layer of the network
Provides predictions or classifications
Each layer learns to extract increasingly complex features from the input data
Process backpropagation occurs here
Optimization algorithms
Which of the following is NOT a key difference between ML and DL?
Input engineering
Model complexity
Data requirement
Hardware requirement
Which of the following is the third step of AI job replacement?
Takes over empathetic tasks
Takes over mechanical tasks
Takes over analytical tasks
Takes over intuitive tasks
Total replacement or integration
Which of the following is true if AI replaces the human customer?
Reduce input for the human customer
Maximise output for the human customer
Increase output and reduce input for the human customer
Increase output for the customer
Automate the output for the customer
Which of the following is applicable when one party is unaware of interaction with the other
Inter-human
Inter-general
Inter-specific
Inter-AI
Which of the following is NOT a benefit of ML?
Fraud detection and security
Personalisation and individualisation
Scalability and efficiency
Automation
Enhanced customer insight
Predictive analytics
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