Stephen Baek

Physics Aware Recurrent Convolutional Neural Networks (PARC) - SHOCK'22

Stephen Baek

AI-assisted Microstructure Design of Energetic Materials - SHOCK'22

Stephen Baek

미국 학위 없이 미국에서 교수되기 - 04. Teaching Statement

Stephen Baek

미국 학위 없이 미국에서 교수되기 - 03. Research Statement

Stephen Baek

미국 학위 없이 미국에서 교수되기 - 02. CV 잘 쓰는 법

Stephen Baek

미국 학위 없이 미국에서 교수되기 - 01. 임용 절차

Stephen Baek

ImagiQ Ep. 02 Challenges of AI in real-world medicine - Jayashree Kalpathy-Cramer

Stephen Baek

ImagiQ Ep. 01 Scaling AI to Develop Robust Applications in Medical Imaging - Daniel Rubin

Stephen Baek

Stock Trading using RL Tutorial (Part 01-1) - Bug Fix

Stephen Baek

Stock Trading using RL Tutorial (Part 01) - Download Stock Historicals using yahoo_fin

Stephen Baek

Stock Trading using RL Tutorial (Part 00) - Introduction

Stephen Baek

5-2. Clustering Algorithms for Big Data (Part II)

Stephen Baek

5-2. Clustering Algorithms for Big Data (Part I)

Stephen Baek

5-1. Clustering Algorithms

Stephen Baek

4-3. Nystrom Approximation (Lab)

Stephen Baek

4-3. Nystrom Approximation

Stephen Baek

4-2. Distance and Similarity for Big Data (Part III, Lab)

Stephen Baek

4-2. Distance and Similarity for Big Data (Part II)

Stephen Baek

4-2. Distance and Similarity for Big Data (Part I)

Stephen Baek

4-1. Distance and Similarity (K-Nearest Neighbors)

Stephen Baek

4-1. Distance and Similarity (Intro)

Stephen Baek

3-3. Supervised Learning with Spark (Part II)

Stephen Baek

3-3. Supervised Learning with Spark (Part I)

Stephen Baek

3-2. Supervised Learnig for Big Data (Part II, Lab)

Stephen Baek

3-2. Supervised Learning for Big Data (Part I)

Stephen Baek

3-1. Supervised Learning (Intro, Part II)

Stephen Baek

3-1. Supervised Learning (Intro)

Stephen Baek

2-4. Data Mining Lab

Stephen Baek

2-3. Web Scraping and Crawling

Stephen Baek

2-2. Spark DataFrames (Part II)

Stephen Baek