Machine Learning & Deep Learning
for Data Science
(Spring 2021)

Administrative

• Deadlines for the assignments

Top Machine Learning Algorithms

• Linear Regression & Gradient Descent

• Logistic Regression

• Decision Trees

• Naive Bayes

• Artificial Neural Networks

• K-Means Clustering

• Anomaly Detection

• Gaussian Mixture Model

• Principal Component Analysis

• K-Nearest Neighbors

• Support Vector Machines

• AdaBoost

• XGBoost

Reading Materials

• Hidden Technical Debt in Machine Learning Systems

• Random Forest Ensemble in Python

• Feature Visualization

Videos

• MLOPS by Andrew Ng

• Deep Learning Overview by Lex Fridman

• Emerging Trends in AI: Learning, Decisions, and Markets (Michael I. Jordan, 글로벌인재포럼 2020)

• The Rise of AI by Bloomberg

• Deep Learning Model Complexity: Concepts and Approaches