A Handbook of Mathematical Models with Python: Elevate your machine learning projects with NetworkX, PuLP, and linalg

Dr. Ranja Sarkar Handbook of Mathematical Models with Python Reviews Summary

Ratings Breakdown

Rated 4.7 by 7 people

Pros from Reviews

  • Insightful overview of mathematical models
  • Practical examples and use cases
  • Blends machine learning with classical models
  • Covers essential mathematical techniques
  • Well-structured Python code for implementation
  • Accessible to a wide audience
  • Emphasizes real-world applications
  • Enhances problem-solving skills

Cons from Reviews

  • Doesn't delve into deep technical details
  • Leaves readers anticipating more in-depth exploration
  • Could expand on advanced topics

Notable Features

Machine Learning
NetworkX
PuLP
linalg
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