FAQ of Machine Learning

Discussing machine learning is always a rewarding experience. Here, I've compiled some of the most common questions I've answered via email or social media, hoping they’ll be helpful to others!

Pre-processing, Feature Selection, and Feature Extraction

Which machine learning algorithm does require data scaling/normalization?

What are the different dimensionality reduction methods in machine learning?

How do you approach a machine learning problem with a large number of features?

What are some common approaches for dealing with missing data?

Machine Learning Models

What are the main differences between K Nearest Neighbours (KNN) and K-Means Clustering?

Model Evaluation

Navigating Bias, Variance, and the Tradeoffs Between Underfitting and Overfitting

How can I calculate the bias-variance trade-off for my algorithm on my dataset?

What is Overfitting?

Statistics Concepts What is a Correlation in Supervised, Unsupervised, and Reinforcement Learning?

NLP

🤖💬 What is Natural Language Processing (NLP)?

Large Language Models ✨