Practice - Distributed Machine Learning
Practice Questions
Test your understanding with targeted questions
Define data parallelism in your own words.
💡 Hint: Think about how teams might divide a project.
What is the main advantage of model parallelism?
💡 Hint: Consider the resources available to each machine.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is data parallelism?
💡 Hint: Focus on how the data is divided.
True or False: Model parallelism is used when a model can fit into a single machine's memory.
💡 Hint: Think of the model's size in relation to memory.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a distributed machine learning system for training a large image classification model. Specify how you would implement both data and model parallelism.
💡 Hint: Consider how large datasets and models will be divided to maintain efficiency.
Evaluate a distributed machine learning framework and discuss the strengths and weaknesses of its data and model parallelism strategies.
💡 Hint: Look at how the framework uses both types of parallelism and theorize on their implications.
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Reference links
Supplementary resources to enhance your learning experience.