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Date of Creation: Beginning of the Universe
Status: #center_of_the_cosmos
Tags: Center of The Cosmos, Where Giants Slumber

Center of The Cosmos, Where Giants Slumber

Woah, you have reached this place.

Well I am humbled that you are reading this, really!
This is my cosmic space, where I garden planets and share my knowledge... at least the little I have.

I am Kouakou Jedidiah Ange-Emmanuel, and I often go by "ARelaxedScholar" on technical forums. I like the idea of being a well-read expert, but we're still on the trail. You might know me as Orosei on Discord.

This here is my little chunk of the internet, where I will write notes about concepts as I learn them, revisit them as I need to, write my thoughts (that can be shared) here, etc, etc.

I'll also be writing fiction at a really slow burn pace, as my other obligations allow.

Finally, you'll be able to see in real time the projects that I am tackling and their progress.

Stay a while and read. I hope this can be helpful to you.

Keep in mind, these are my personal notes and are therefore very informal. Do not expect scholarly prose, or whatnot. It might occur, but most of the time it will not.

They will capture things as I think them, and are the place where my content creation ideas will take form.

My Course Sequence:
https://www.uottawa.ca/faculty-engineering/undergraduate-studies/programs/data-science/course-sequence

Courses I have taken already:

CGPA: 9.69/10

1000-Levels

2000-Levels

3000-Levels

Tagging System

I am a big fan of Manwha, Manga, and Xianxia\Wuxia. My love for these is partly what motivated me in learning Japanese. Korean and Mandarin are both on my language bucket list.
Hence, the rating system is based on the cultivation concept (cause I liked the pun with the concept of Digital Garden. :3)

#nascient:
  - Raw capture, first pass
  - Could be long (essay-length)
  - Unrefined, needs review
  - Few/no connections yet

#awakened:
  - Reviewed once, cleaned up
  - Coherent, makes sense
  - Some connections forming
  - "I understand this now"

#foundation (the endpoint for most notes):
  - Multiple reviews
  - Well-structured, polished
  - Connected to 2-5 other notes
  - Part of knowledge network
  - "This is solid"

#core-formation:
  - Hub note (5+ notes link TO this)
  - Still has substantial content
  - Central to understanding topic
  - "Other notes orbit this"

#nascent-soul:
  - Teaching-level understanding
  - Made YouTube video/taught it
  - Can explain clearly to others
  - "I've externalized this"

#transcendent:
  - Evergreen perfection
  - Years of validation
  - Still perfect on revisit
  - Needs no revision
  - "This is my magnum opus"

My Galaxies

These are canvases where I try to connect before or after the fact knowledge and concepts to create a map of meaning and try to see how close to an abstraction of a field I can get to. Right now my conclusion is that all of Frequentist Statistics can be boiled down to basically Analysis of Variance (ANOVA) and the Likelihood Ratio Test.

Statistics Galaxy.canvas
Information Retrieval Galaxy.canvas

Clusters

(This is a Dataview query that adds notes with 5 or more backlinks)

File Connections
Machine Learning 26
Statistics 16
Probability 14
Simple Linear Regression 14
Deep Learning 13
Probability Measure (According to Kolmogorov) 12
Linear Algebra 11
Logistic Regression 11
Classification 10
Linear Discriminant Analysis (LDA) 10
Information Retrieval 9
Multiple Linear Regression 9
Probability Spaces 9
Event 8
Expected Value 8
Financial Machine Learning 8
Normal Distribution 8
Probability Density Functions 8
Random Forests 8
Random Variable 8
Algebra 7
Borel-Sigma Algebras 7
Lebesgue Measures 7
Linear Regression 7
Sample Space 7
Support Vector Machine (SVM) 7
Bias-Variance Tradeoff 6
Borel Sets 6
Continuous Probability Spaces 6
Recall (Statistical Power) 6
Regression 6
Analysis of Variance (ANOVA) 5
Chi-Squared Distribution 5
Decision Trees 5
Discrete Probability Spaces 5
Golden Aegis 5
Linear Methods for Classification 5
Measure 5
Neural Networks 5
Precision (1-false discovery proportion) 5
Quadratic Discriminant Analysis (QDA) 5
Tree-Based Methods 5

~
o
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Thanks to https://vaults.obsidian-community.com/ for sharing this universe with the world. <3