Coding is a prerequisite for successful business models.
I recently stumbled upon this answer by Alexandre Robicquet on Quora which was also published on Forbes. For a beginner who’s looking for the most sensible advice on
“How can I start learning about Machine Learning and Artificial Intelligence”, here’s what he says:
A condensed version of his perspective:
- Master coding, particularly python that is most ideal for machine learning. In addition to coding expertise, you should have good analytical and statistical skills.
- For starters, you can begin by cloning codes from git repositories or tutorials. But, to become a sound ML/AI engineer, you must know and own what you’re doing.
- Do not invent a solution and hunt for the problem. Instead, identify the problems and challenges to invent an automated solution.
(You may read his answer here).
But, that’s not it.
If you’re a coding nerd, double-check the quality and structure of data you feed into your algorithms as they play a huge role in inventing a successful analytical model.
There are 3 dimensions to building a successful AI/ML model:
Algorithms, data, and computation.
Creating accurate algorithms and applying computational skills is a part of the whole process, but, what is foundational to this?
Lay the groundwork with the right data.