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Mathrems : Building Blocks for ML

Welcome to Mathrem, a repository dedicated to mastering essential mathematical concepts relevant to machine learning and artificial intelligence. This project serves as a practical resource for exploring topics in linear algebra, probability and statistics, and calculus.

Contents

  • Linear Algebra: Concepts related to vectors, matrices, transformations, and eigenvalues.
  • Probability & Statistics: Exploration of data distributions, hypothesis testing, and descriptive statistics.
  • Calculus: Fundamentals of derivatives, integrals, and limits.

Goals

  • To build a strong mathematical foundation for machine learning applications.
  • To practice and implement mathematical concepts through coding and problem-solving.
  • To create a resource for others interested in enhancing their math skills for AI and ML.

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Mathrems : Building Blocks for ML

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