Bhupender Bindal
Master’s in Computational Sciences in Engineering course @ TU Bruanschweig
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
- Solving Advent of Code - 2024
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