Machine Learning Cookbook with Python
Create ML and Data Analytics Projects Using Some Amazing Open Datasets (English Edition)
by Rehan Guha
Should I read this?
appears in Statistics.
A Cookbook that will help you implement Machine Learning algorithms and techniques bybuilding realworld projects Key FeaturesLearn how to handle an entire Machine Learning Pipeline supported with adequate mathematics. Create Predictive Models and choose the right model for various types of Datasets. Learn the art of tuning a model to improve accur...
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appears in Statistics.
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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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