### Tommy Khoo, Ph.D.

Data Science - Machine Learning and Statistics - Software Development

**PhD in Mathematics** - Dartmouth College

**MSc in Mathematics and the Foundations of Computer Science** - Oxford University

**BSc in Mathematics and Economics** - Singapore Institute of Management, University of London

### Machine Learning & Data Analytics

These the machine learning projects and articles on data analytics that I have written. Code for the projects can be found in an attachment section at the top of each articles.

**Random Forest Doesn’t (Does) Overfit**

**Analyzing Hepatitis Survival With a Decision Tree**

**Simple Linear Regression**

**Part 1 - Mathematical Theory** | **Part 2 - Estimating Yacht Hydrodynamics** | **Part 3 - GDP and Life Expectancy**

**Labeling Recipes with Logistic Regression**

**Part 1 - Mathematical Theory** | **Part 2 - Data Cleaning, Multicollinearity, and Recipe Labels**

**Naive Bayes**

**Feedforward Neural Networks**

### Mathematics & Statistics

These articles are still mostly focused on machine learning and statistics but are more on the theoretical side or more research focused. There is also the occasional

**Bias and Variance, in Statistics and Machine Learning**

**Part 1 - Bias and Variance in Statistics** | **Part 2 - Bias and Variance in Machine Learning**

**When Not To Use Bayesian Probability Estimation**

**Great Papers in Statistics & Machine Learning**

**The No Free Lunch Theorems**

**The Axiom of Choice**