Tools and Techniques for Scientific Computing
by Ben Klemens
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Consider Data Mining Techniques by Gordon S. Linoff. Recommended by 1 sources.
“Data Mining Techniques delivers a broad, method-oriented introduction to common algorithms with business-flavored examples and pragmatic advice on when each approach fits a problem. Strengths are clear explanations of methods and guidance for scoping projects; limitations are a textbook voice, recurring algebraic derivations, and relatively few runnable, code-first examples. Readers seeking immediate notebook-style recipes or cutting-edge neural workflows may feel frustrated. Best read in chunks while pairing chapters with hands-on experiments in your toolset.”
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