Skip to content

Rama Ramakrishnan

MIT Professor, entrepreneur, data scientist, startup advisor, reading addict. This blog captures the neat things I come across.

  • Data Science/Machine Learning
  • Math/Science/Nature
  • Business/Entrepreneurship/Design
  • The Good Life
  • CQuotient Archive

Recent Posts

  • How Big Should Your Sample Size Be?
  • How to Build Good AI Solutions When Data Is Scarce
  • How to read without slipping into “check the box” mode
  • 6 steps for leading successful data science teams
  • From Prediction to Action — How to Learn Optimal Policies From Data

Subscribe via RSS

Posts Comments

Subscribe via Email


 

Archives

  • December 2022
  • May 2022
  • November 2021
  • August 2021
  • July 2020
  • June 2020
  • May 2020
  • October 2019
  • January 2018
  • July 2017
  • June 2017
  • January 2017
  • August 2016
  • April 2016
  • January 2016
  • December 2015
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • November 2010
  • July 2010
  • May 2010
  • April 2010
  • March 2010
  • February 2010

Month: December 2022

How Big Should Your Sample Size Be?

There’s a handy little formula that every data scientist should know. Link.

Share/Bookmark
Posted on December 16, 2022December 16, 2022Tags Data Science/Machine LearningLeave a comment on How Big Should Your Sample Size Be?

How to Build Good AI Solutions When Data Is Scarce

I recently wrote an article on this topic for the Winter issue of Sloan Management Review. Link.

Share/Bookmark
Posted on December 16, 2022December 16, 2022Tags Data Science/Machine LearningLeave a comment on How to Build Good AI Solutions When Data Is Scarce
Proudly powered by WordPress