Data Skeptic

CAREER Prediction

Mar 27, 2023

40:31

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AI Chapters

Episode notes

Introduction

3min

The Challenges of ML in the Social Sciences

3min

The Challenges of Scaling Up a Representative Sample

2min

How to Use Survey Data to Make Meaningful Estimates

3min

The Importance of Unified Classification Schemes in Data Analysis

2min

The New Buzz Around AI

3min

How to Make a Good Chatbot

2min

The Exploratory Data Analysis Phase

2min

How to Predict an Individual's Next Job

2min

10.

How to Predict Your Next Job

2min

11.

The Career Model: A Two Stage Prediction

3min

12.

The Difference Between Career and the Econometric Baseline

2min

13.

How to Evaluate a Natural Language Processing Model

2min

14.

The Role of Transfer Learning in the Project

2min

15.

The Importance of Job Transitions in Transfer Learning

2min

16.

How to Predict Your Next Job in 20 Years

4min

17.

How to Apply Transfer Learning to Analysis of Survey Data

3min

Ever wondered what your next career would be? Today, Keyon Vafa, a computer science Ph.D. student at Columbia University, joins us to discuss his latest research on developing a machine-learning model for career prediction. Keyon extensively spoke about how the model was developed and the possibilities it brings.