[N] Implementing AI/ML Models From Scratch (stylepoint)

Hi folks,

I am stylepoint. Currently work as an ML Research Scientist in academia. I have recently created a YouTube channel and started the YouTube video series called "Implement," where I will be implementing software (duh!). I will first implement machine learning and deep learning algorithms and models from scratch (means using Python with numpy, but no other third-party libraries/modules).

My assumptions for AI/ML videos:

• One is familiar with the theory
• One is familiar with Python
  • This is since for AI/ML, Python is the language of choice for many (including myself)

Due to these assumptions, videos tend to be approximately 10 - 15 minutes long. So it should not be too hard to digest.

As of now, only one video has been released, but more to come! And we will definitely not limit ourselves to only implementing AI/ML models. I will be making videos about software engineering, software design, programming languages, math, emerging technologies, etc. as well!

Just wanted to share this in case anyone finds the series interesting or helpful.

Thanks y'all!

Links:

• YouTube
• GitHub
• Web
• First video (Implementing Gaussian Naive Bayes from Scratch)

UPDATE:

Another video: Implementing K-Nearest Neighbors (k-NN) from Scratch