PinnedRama RamakrishnaninTowards Data ScienceFrom 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, 2021Aug 12, 2021

PinnedRama RamakrishnaninTowards Data ScienceFrom 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, 2021Jun 10, 2021

Rama RamakrishnanHow ChatGPT can answer complex questions and execute actions by using external tools (a…Jun 16, 2023Jun 16, 2023

Rama RamakrishnaninTowards Data ScienceHow Big Should Your Sample Size Be?A handy little formula that every data scientist should knowDec 15, 20222Dec 15, 20222

Rama RamakrishnaninTowards Data ScienceFrom 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, 2021Aug 6, 2021

Rama RamakrishnaninTowards Data ScienceFrom 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, 2021Jul 21, 2021

Rama RamakrishnaninTowards Data ScienceLessons from a Deep Learning MasterYoshua Bengio is a Deep Learning legend and won the Turing Award in 2018, along with Geoff Hinton and Yann LeCun.Jul 17, 20203Jul 17, 20203

Rama RamakrishnaninTowards Data ScienceHow to Use Causal Inference in Day-to-Day Analytical Work— Part 2 of 2In 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, 20203Jun 18, 20203

Rama RamakrishnaninTowards Data ScienceData 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, 2020Jun 8, 2020