The Elements of Statistical Learning
Data Mining, Inference, and Prediction (Springer Series in Statistics)
by Trevor Hastie
Recommended by Nassim Nicholas Taleb
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Recommended by 1 source and appears in Data Mining, Machine Learning, and Statistics.
During the past decade there has been an explosion in computation and information Technology,. With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data...
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Recommended by 1 source and appears in Data Mining, Machine Learning, and Statistics.
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Nassim Nicholas Taleb
Author, essayist, mathematical statistician, and risk analyst
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Not sure if this is the right fit?
Consider First Course in Probability, A by Sheldon Ross.
“Sheldon Ross’s First Course in Probability reads like a clear, calculus-based undergraduate textbook: definitions, step-by-step derivations, and many worked examples aimed at building formal comfort with probability. What works best is its mathematical clarity — it pushes you through proofs and algebra so you understand why common distributions and counting arguments work. The main limitation is tone and pacing: chapters can feel terse and formula-heavy, and the bundled diskette/tooling feels dated for readers expecting modern software support.”
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The Elements of Statistical Learning
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