Naveen Mathew Nathan’s blog on Medium.com

Note: These are not in chronological or reverse chronological order. I personally recommend reading these articles in the order given below.

Linear Models

• OLS linear regression: hyperplane of zero net force and torque [article link]
• Simple linear regression and ANOVA [article link]
• Equivalence of MLE and OLS in linear regression [article link]

Regularization in Linear and Deep Learning Models

• A short note on regularization [article link]
• Lasso, ridge and dropout regularization — their effects on collinearity [article link]
• Lasso regularization on linear regression and deep learning [article link]

Bayesian Statistics

• Application of Bayes theorem in medicine [article link]
• Introduction to Bayesian statistics — part 1 [article link]
• Bayes Theorem [article link]
• Introduction to Bayesian statistics — part 2 [article link]

Deep Learning

• CNN vs fully-connected network for image processing [article link]

Deep Learning in Astronomy

• Search for exoplanets — humans vs stars [article link]
• Unsupervised Deep Learning in Astronomy for Exoplanet Candidate Identification [article link]

Reinforcement Learning

• Lessons from my internship (and immediate aftermath) [article link]

Python in Practice

Multiprocessing

• Speeding up ‘diff’ between consecutive rows in Python on my laptop [article link]