Mississippi State University is recruiting Master's, PhD, and combined program students for Spring 2026.
If you are interested, apply through the official portal by September 12, 2025, 18;00 KST
Also, send your CV and portfolio to [email protected]
Dear men,
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If you want to learn Linear Algebra without doing tedious row echelon computations.... then check out Linear Algebra Done Right by Sheldon Axler 😎
P. S. It's an open access so you can download PDF for free and make a print out for self study like I always do 💪
Variance is one of the most important concepts in statistics, but it is often misunderstood. It measures the spread of data points in a set and how they differ from the mean, providing critical insights into data variability and consistency.
✔️ Quantifies Variability: Variance…
The Gini coefficient is a common statistical measure of income or wealth inequality. It ranges from 0, indicating perfect equality, to 1, showing maximum inequality. This metric provides a clear picture of how resources are distributed within a population and is widely used in…
The following Universities in USA 🇺🇸 have declared NO APPLICATION FEE/WAIVED APPLICATION FEE FOR THE 2026 FALL APPLICATIONS:
1. University of Portland
up.edu/graduate/faqs/…
2. University of Louisiana Monroe
graduateschool.nd.edu/admissions/app…
3. Wayne State University…
PhDs, here's how to get published in 8 weeks using systematic reviews instead of waiting years for original research
My first 3 research papers got rejected.
Then I discovered systematic reviews.
My next paper was accepted in 8 weeks
Bro to bro,
In September, I challenge y'all to try this;
•No sodas
•No porn
•Eat 2-3 eggs daily
•Hit the gym
•Cut out sugar
•Hustle
•Safe sex
•Pray
•Sleep 6-7 hours
•Drink water.
Who is in?
Spectral decomposition breaks down a symmetric matrix into its core components: a set of eigenvectors and eigenvalues. This reveals the matrix's fundamental structure and is key in statistics and machine learning. In statistics, it’s used in Principal Component Analysis (PCA) for…
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