Machine Learning Foundations

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

Further Resources

For writing these posts I’ve relied on several textbooks, online courses, and blogs.

Here you find a comprehensive list of educational resources on machine learning and data science that I’ve used to write these posts and that I recommend for further study.