12/11/2022
Complete Blender Work (No other tool used)
Designed after 6 months of blender study. All of it was done on YouTube. A great way to start with.
Anyhow, this post is not about blender.
Rather, we will be starting up a series on data science focusing on graphs and how we can visualize math. This is of great importance.
Data science is start to AI / ML / Deep Learning.
It is like food for these kind of algorithms.
In short , how to define structure of your data is different for different kind of problems.
Here in this course ( multiple videos ) we shall:
1) Discuss how the data is stored and structured
- Details of Liner Algebra (Vectors & Matrices)
- Calculus & Statistics
- How python utilizes then. What function to use when.
2) See various kind of problems and finding there solution using python
3) How data science connects itself further with
- N-Dimensional Space
- AI / ML
- Deep Learning
All of this study was made from N-number of sources. It was a long lasting continuous study via YouTube videos, articles , pdf's etc. But the inner details, I started understanding them and think more accurately was via Coursera for me (Ref : Imperial College London / Coursera).
1) Linear Algebra
2) Multivariate Calculus
3) Statistics of Datasets / Principal Component Analysis (PCA)
Note: I already see a spelling mistake but as it takes hours to render such videos we are going with this version. It is also expected that the viewer identify this mistake.
Link:
https://www.youtube.com/channel/UCS5TwgUxZc5GOBhL6LbU1jQ
