Machine Learning
To make machine learning and understand machine learning
9 Tree-based Methods
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Summary: Decision trees are a simple model for decision. Yet combined with other methods, decision trees can be quite powerful.
Pages: 3
7 Embedding
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Summary: Embedding was one of the first ideas on computers and it is still the key component of machine learning
Pages: 2
3 Feature Engineering
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Summary: In the industry, we spend a lot of time working on feature engineering.
Pages: 3
1 Machine Learning Overview
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Category: { Machine Learning }
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References:
- Mehta, P., Bukov, M., Wang, C. H., Day, A. G. R., Richardson, C., Fisher, C. K., & Schwab, D. J. (2019). A high-bias, low-variance introduction to Machine Learning for physicists. Physics Reports, 810, 1–124.
- Shalev-Shwartz, S., & Ben-David, S. (2013). Understanding machine learning: From theory to algorithms. Understanding Machine Learning: From Theory to Algorithms
Summary: A brief overview of machine learning
Pages: 31