Vineeth Bhat

Hi! Thanks for coming here:)! I wrote these blogs before October 2025 to get my math basics right. Why are there no more blogs on these things? Well, I need to learn things in a really deep manner and so, I’m back to paper and pen!

What am I reading right now?

1. Deep Learning (Bishop & Bishop)
2. Reinforcement Learning (Sutton & Barto)
3. Robot Learning!!

• ML Math
  • Linear Algebra
    • Matrix Decompositions
      • Matrix Decompositions 1
        • PCA, Spectral Clustering and t-SNE
      • Matrix Decompositions 2
      • Matrix Decompositions 3
    • Other important matrix bits
      • An Exposition on Rotations and Quaternions
  • Probability and Statistics
    • Probability
      • Foundations of Probability
      • Fundamental Discrete Probability Distributions
      • Generating and Combining RVs
        • Advanced Methods for generating RVs
      • Continuous Distributions
        • Gaussians 1
          • A small introduction to Gaussian Processes
        • Uniform, Exponential, Beta & Dirichlet
        • Gamma Family of Distributions 
    • Statistics
      • Estimation Theory (The Principles of Statistical Parameter Estimation)
      • Information Theory
      • Confidence and Errors (Framework of Frequentist Hypothesis Testing)
      • Common tests
  • Vector Calculus and Optimization
    • Convex? Non-convex?
  • Fourier series
  • Groups such as SO(3), SE(3), lie
• System Design
  • Short notes from DDIA
    • Ch1: Reliable, Scalable and Maintainable Apps

Ones not linked are planned. Other things that I want to write on are

• Search algorithms – beam search, annealing, etc. (suggested by yours truly)
• VLM/VLA systems – particularly around ones deployable to robotics – maybe a project as a blog? (suggested by yours truly)
• Manipulation
• Control and Dynamics
• Variational inference, autoencoders

Why do I write? I want to make a single, authoritative source for myself that I could refer to. Figured that I might as well make it public:) Inputs on stuff that I should learn (or stuff that would be very cool to explore) for Software Engineering, ML, Maths, Robotics or AI Safety are welcome!

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