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AI-Math

Advance Maths for Machine Learning

Overview of AI infrastructure fundamentals including NVIDIA GPU architecture, training vs inference workloads, data center design, networking, storage, virtualization, and AI operations best practices.

AI Infrastructure
AI Operations
GPU Computing
Data Center
CUDA
AI Training
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MapReduce for Large-Scale Machine Learning: Distributed Training at Scale

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Algebra for Notation and Geometry

Advance Maths for Machine Learning and Data Science

πŸ’€ When Geometry Becomes Dangerous

1. Advance Linear Algebra βˆ‘

  • Week 1: Systems of linear equations
  • Week 2: Solving systems of linear equations
  • Week 3: Vectors and Linear Transformations
  • Week 4: Determinants and Eigenvectors

2. Calculus ∫

  • Week 1: Derivatives and Optimization
  • Week 2: Gradients and Gradient Descent
  • Week 3: Optimization in Neural Networks and Newton's Method

3. Probability & Statistics 🎲

  • Week 1: Introduction to Probability and Probability Distributions
  • Week 2: Describing probability distributions and probability distributions with multiple variables
  • Week 3: Sampling and Point estimation
  • Week 4: Confidence Intervals and Hypothesis testing
Hitesh Sahu
Written by Hitesh Sahu, a passionate developer and blogger.

Fri Feb 27 2026

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MapReduce for Large-Scale Machine Learning: Distributed Training at Scale

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Algebra for Notation and Geometry

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