Computational Biostatistics: Machine Learning Methods

Introduction

What this guide covers

Introduction Machine Learning · Advanced Statistical Methods

Overview

Topics covered

• Introduction
• Classical biostatistics versus Machine Learning
• 1.1 The Curse of Dimensionality
• 1.2 Bias-Variance Compromise in the Clinical Environment
• Regularization Methods: Ridge, Lasso and Elastic Net
• 2.1 Ridge Regression ( Regularization)

Related concepts

Main connections

• Survival analysis & Kaplan-Meier
• Regularization (Lasso / Ridge / Elastic Net)
• Supervised machine learning
• Overfitting & cross-validation
• Unsupervised learning & clustering
• Variance & standard deviation

Compatible notation

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