This is the 6th & last post of blog post series ‘Probability & Statistics for Data Science’, this post covers these topics related to Statistical Learning and their significance in data science.
- Introduction
- Prediction & Inference
- Parametric & Non-parametric methods
- Prediction Accuracy and Model Interpretability
- Bias-Variance Trade-Off