What are the advanced data structures used in machine learning?
An example of an AI chatbot conversation about advanced data structures in machine learning.
What are the advanced data structures used in machine learning?
Advanced data structures in machine learning include trees, graphs, and hash tables, which optimize data handling.
Can you explain how decision trees work?
Decision trees split data into branches based on feature values, making decisions at each node until a leaf is reached.
What are the advantages of using graphs in ML?
Graphs can represent complex relationships and dependencies, making them ideal for tasks like social network analysis.
How do hash tables improve performance in ML algorithms?
Hash tables provide constant time complexity for lookups, which speeds up data retrieval in algorithms like k-NN.
Are there any specific libraries for implementing these structures?
Yes, libraries like Scikit-learn for trees and NetworkX for graphs are popular in Python for implementing these structures.
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