Chris Kuo/Dr. Dataman – Medium

Chris Kuo/Dr. Dataman

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Handbook of Anomaly Detection: With Python Outlier Detection — (1) Introduction

Anomaly detection is the detection for any rare events that deviate significantly from the majority of the data. Those rare events, called…

Oct 9, 2022

Handbook of Anomaly Detection: With Python Outlier Detection — (1) Introduction

Oct 9, 2022

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Explain Your Model with the SHAP Values

Use the SHAP Values to Explain Any Complex ML Model

Sep 14, 2019

Explain Your Model with the SHAP Values

Sep 14, 2019

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Transfer Learning for Image Classification — (2) Pre-trained Image Models

Hands on with Pre-trained models

Jan 30, 2023

Transfer Learning for Image Classification — (2) Pre-trained Image Models

Jan 30, 2023

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The SHAP Values with H2O Models

Many machine learning algorithms are complicated and not easy to understand, even though they have rendered an impressive level of…

Nov 24, 2021

The SHAP Values with H2O Models

Nov 24, 2021

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Top Data Science Interview Questions and Answers

You receive a data science interview opportunity from your dream company. You have surveyed many the-top-50-question types of articles but…

Nov 18, 2021

Top Data Science Interview Questions and Answers

Nov 18, 2021

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Chapter 2: Harnessing LLMs for Causal Discovery in Observational Data

Identifying possible confounders in observational data is inherently challenging and often a time-consuming task. Successfully identifying…

2d ago

Chapter 2: Harnessing LLMs for Causal Discovery in Observational Data

2d ago

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Chapter 5: Inverse Propensity Weighting

Two data scientists, Alex and Jordan, had a very engaging conversation about their causal inference project when they met at the coffee…

3d ago

Chapter 5: Inverse Propensity Weighting

3d ago

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Chapter 1: The Language of Causal Inference

We make causal statements every day. We credit our morning coffee for our alertness, blame traffic for our bad mood, and praise new…

6d ago

Chapter 1: The Language of Causal Inference

6d ago

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Chapter 4: Propensity Score Stratification

Andrew, a data scientist, had just run a propensity score matching (PSM) analysis on the tutoring program data. He leaned back, frowning…

Nov 9

Chapter 4: Propensity Score Stratification

Nov 9

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Chapter 3: Propensity Score Matching

Alex, a data scientist at a government agency, was tasked with evaluating a new job training program. Eager to deliver results quickly, he…

Nov 6

Chapter 3: Propensity Score Matching

Nov 6

Chris Kuo/Dr. Dataman

Chris Kuo/Dr. Dataman

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The Dataman articles are my reflections on DS at Columbia University https://sps.columbia.edu/faculty/chris-kuo. Follow https://drdataman.teachable.com

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