How to do a master science research in AI view

What is Scientific research during a Master’s program?

Key :

  • Reproducibility: Ensuring your research can be replicated by others.
  • Discoveries: May involve small-scale findings or contributing to larger projects.
  • Efficiency: Learning to manage time and resources effectively.
  • Public Accessibility: Sharing findings through presentations or publications.

Simplified Process:

  • Identify a research question: Find a gap in knowledge or an unresolved problem.
  • Develop a hypothesis: Propose a solution or explanation.
  • Conduct experiments or gather data: Test your hypothesis using appropriate methods.
  • Analyze results: Draw conclusions based on your findings.
  • Disseminate findings: Share your research through a thesis, presentations, or publications.

Scientific research during a Master’s program code

  • writes code quickly.
  • Experimentation and Recording
  • Analysis and comparison of experiments, consistent with your expectations
  • Modifications and iterations

prototyping + refactor pattern

What is prototyping?

From wikipedia

A prototype is an early sample, model, or release of a product built to test a concept or process or to act as a thing to be replicated or learned from

for us, we need to build prototypes that quickly validate your idea

what is refactoring?

from link

Refactoring is the process of restructuring code, while not changing its original functionality. The goal of refactoring is to improve internal code by making many small changes without altering the code’s external behavior.

for us, Modify the code to implement your idea

Now, the AI framework uses the main code language, which is

  1. Python
  2. PyTorch

How to faster learn these two languages?

Python

Pytorch

Using vscode from your code IDE (free and has a lot of plug-in programs)

Install python in Vscode

Using Ubuntu can make you debug other AI projects easily; if you want to do AI projects, please use Anaconda and choose the right Cuda version.

Findlly

I know that this isn’t really applicable in real work environments if you have tight deadlines, but you can use it when starting up your own personal projects, even if you are still unsure how to do them.

Don’t overthink stuff, just start doing! And most importantly….

If you are interested in AI study or you want to see other AI research in AV(autonomous vehicle) you can click this link.

If you enjoy this blog, please give it a clap and share it with others who need to study in AI.

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