A Reddit user is seeking recommendations for mathematics textbooks to deepen their understanding of statistics, machine learning, and deep learning. They are an engineering student with a background in calculus and linear algebra, familiar with basic ML concepts, and prioritize clear derivations and practical applications within models over extensive problem sets. The user has compiled a shortlist including "All of Statistics" by Wasserman, "Foundations of Machine Learning" by Mohri et al., "Mathematics for Machine Learning" by Deisenroth et al., "The Elements of Statistical Learning" by Hastie et al., and "Deep Learning" by Goodfellow et al., and is asking for community feedback and alternative suggestions. AI
RANK_REASON User is asking for recommendations on educational materials, not reporting on a new development.
- All of Statistics
- deep learning
- Deisenroth
- Faisal
- Foundations of Machine Learning
- Friedman
- Goodfellow
- machine learning
- Mathematics for Machine Learning
- Rostamizadeh
- statistics
- Talwalkar
- The Elements of Statistical Learning
- Tibshirani
- Wasserman
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