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Rama Ramakrishnan

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Towards Data Science

From Prediction to Action — How to Learn Optimal Policies From Data (4/4)

In this final post of the series, we will learn how to find an optimal policy.

Aug 12, 2021

From Prediction to Action — How to Learn Optimal Policies From Data (4/4)

Aug 12, 2021

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Rama Ramakrishnan
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Towards Data Science

From Prediction to Action — How to Learn Optimal Policies From Data (Part 1)

In data science work, we build models to make predictions. And using these predictions, we make decisions or take action.

Jun 10, 2021

Which way to go?

Jun 10, 2021

Rama Ramakrishnan

How ChatGPT can answer complex questions and execute actions by using external tools (a…

Jun 16, 2023

How ChatGPT can answer complex questions and execute actions by using external tools (a…

Jun 16, 2023

Rama Ramakrishnan

How ChatGPT was built

Mar 9, 2023

How ChatGPT was built

Mar 9, 2023

Rama Ramakrishnan
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Towards Data Science

How Big Should Your Sample Size Be?

A handy little formula that every data scientist should know

Dec 15, 2022

How Big Should Your Sample Size Be?

Dec 15, 2022

Rama Ramakrishnan
in
Towards Data Science

From Prediction to Action — How to Learn Optimal Policies From Data (3/4)

In Part 1, we discussed the need to learn optimal policies from data. Policy optimization covers a vast range of practical situations and…

Aug 6, 2021

From Prediction to Action — How to Learn Optimal Policies From Data (3/4)

Aug 6, 2021

Rama Ramakrishnan
in
Towards Data Science

From Prediction to Action — How to Learn Optimal Policies From Data (2/4)

In Part 1, we discussed the need to learn optimal policies from data. Policy optimization covers a vast range of practical situations…

Jul 21, 2021

From Prediction to Action — How to Learn Optimal Policies From Data (2/4)

Jul 21, 2021

Rama Ramakrishnan
in
Towards Data Science

Lessons from a Deep Learning Master

Yoshua Bengio is a Deep Learning legend and won the Turing Award in 2018, along with Geoff Hinton and Yann LeCun.

Jul 17, 2020

Lessons from a Deep Learning Master

Jul 17, 2020

Rama Ramakrishnan
in
Towards Data Science

How to Use Causal Inference in Day-to-Day Analytical Work— Part 2 of 2

In Part 1, we looked at how to use Causal Inference to draw the right conclusions — or at least not jump to the wrong conclusions — from…

Jun 18, 2020

How to Use Causal Inference in Day-to-Day Analytical Work— Part 2 of 2

Jun 18, 2020

Rama Ramakrishnan
in
Towards Data Science

Data Scientists, Ask Yourself Often: So What?

I used to work at a global management consulting firm many years ago. As a new associate, when I presented the results of my work, I’d…

Jun 8, 2020

Data Scientists, Ask Yourself Often: So What?

Jun 8, 2020

Rama Ramakrishnan

Rama Ramakrishnan

MIT Professor, AI/ML entrepreneur/advisor. Prev: Founder/CEO CQuotient, SVP Data Science Salesforce, Chief Scientist/VP Oracle Retail, McKinsey. MIT PhD.

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