1.3 - Model Training
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Practice Questions
Test your understanding with targeted questions
What is data preprocessing?
💡 Hint: Think about the steps needed before training a model.
Name one type of data that IoT devices can collect.
💡 Hint: Consider different formats of information.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of data preprocessing?
💡 Hint: Remember the steps that ensure data quality.
True or False: Training a model directly on raw data is the best practice.
💡 Hint: Consider what pre-training steps are typically taken.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
You are tasked with developing a predictive maintenance model. Discuss how you would approach data collection and preprocessing. What type of data would you gather?
💡 Hint: Think about what measurements provide insight into potential machine failures.
Describe the implications of deploying models to the edge vs. the cloud for real-time IoT systems. How would you prioritize deployment choices?
💡 Hint: Consider the real-time needs and resource constraints of the specific application.
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Reference links
Supplementary resources to enhance your learning experience.
- Introduction to Machine Learning
- Preprocessing in Machine Learning
- What is Data Validation?
- Edge Computing Explained
- Machine Learning Deployment Strategies
- Concept Drift in Machine Learning
- An Introduction to Predictive Maintenance
- Anomaly Detection Techniques
- TensorFlow Lite for Microcontrollers
- Understanding Feature Engineering