Here you find coverage of foundational concepts and knowledge in machine learning that are independent of specific algorithms. Understanding them is vital to becoming a good data scientist or machine learning engineer.
- An Introduction to the Different Types of Machine Learning
- Understanding the Bias Variance Tradeoff and Machine Learning Models as Hypotheses
- Regularization in Machine Learning
For writing these posts I’ve relied on several textbooks, online courses, and blogs.