Bhupender Bindal

Master’s in Computational Sciences in Engineering course @ TU Bruanschweig

prof_pic.jpg

I enjoy the visualisation of information, hence, computer vision, data transformation, geo-data, and still exploring. Have a look at the projects section!

Currently:

Was

Some helpful questions:

  • “Does your model have data bias and leakage, and causing amazingly inflated metrics ?”
  • “Do I really need more computation or it’s bad memory management ?”
  • “Are you solving the right problem or lost in the middle of the project ?”

Quote from others:

“Models are almost always imperfect. This is fine as long as you are aware of this” - Michael Elad, Technion - Israel Institute of Technology, Computer Science

Books

  • Style: Lessons in Clarity and Grace
    • by Joseph M. Williams, Joseph Bizup
    • It provides a new outlook for writing in the English language.
  • Machine Learning Design Patterns
    • by Valliappa Lakshmanan, Sara Robinson, Michael Munn
    • Covers details and insights that are helpful for a machine-learning project
  • Endure: Mind, Body, and the Curiously Elastic Limits of Human Performance
    • by Alex Hutchinson

Cool animation of robot moving boxes from Advent of Code - 2024 - day15-part2

day15-part2