A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements. Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal, but are also a popular tool in machine learning.
Decision Trees is most likely to appear on 数据科学家 job descriptions where we found it mentioned 7.9 percent of the time.
Mastering K-Means Clustering
Towards Data Science - Medium
Bird by Bird using Finite Automata
Towards Data Science - Medium
Coding in Cipher: Encrypted Data Structures and Algorithms
Towards Data Science - Medium
Interpretable kNN (ikNN)
Towards Data Science - Medium
Machine Learning on GCP: From Notebooks to Pipelines
Towards Data Science - Medium