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Dr. Varshita Sher
Dr. Varshita Sher

3.7K Followers

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Towards Data Science

·Pinned

Exploring GEMBA: A New LLM-Based Metric for Translation Quality Assessment

Using LLMs for evaluating translation quality — Introduction I recently read an intriguing paper from the Microsoft¹ team (published in May 2023) that caught my attention. The paper delves into the world of translation evaluation, shedding light on an innovative metric called GEMBA (GPT Estimation Metric Based Assessment). In this blog post, we’ll dissect the paper and provide…

Language Translation

9 min read

Exploring GEMBA: A New LLM-Based Metric for Translation Quality Assessment
Exploring GEMBA: A New LLM-Based Metric for Translation Quality Assessment
Language Translation

9 min read


Published in

Towards Data Science

·Pinned

A Gentle Intro to Chaining LLMs, Agents, and utils via LangChain

Understand the basics of agents, tools, and prompts and some learnings along the way — Audience: For those feeling overwhelmed with the giant (yet brilliant) library… Introduction I’d be lying if I said I have got the entire LangChain library covered — in fact, I am far from it. …

Large Language Models

20 min read

A Gentle Intro to Chaining LLMs, Agents, and utils via LangChain
A Gentle Intro to Chaining LLMs, Agents, and utils via LangChain
Large Language Models

20 min read


Published in

Towards Data Science

·Pinned

How to Make the Most of Your Python Debugger in VSCode

Watch variables, use conditional breakpoints, call stack, exception breakpoint, etc— when working on larger projects — Quick pulse check — Still using print() statements to debug your code? Hey, no shame in admitting if you do. If it works, it works (especially for smaller scripts)! Having said that, it’s not a sustainable solution when working with larger projects — involving a buttload of third-party packages, util…

Vscode

13 min read

How to make most of your python debugger in VSCode?
How to make most of your python debugger in VSCode?
Vscode

13 min read


Published in

Towards Data Science

·Pinned

Data scientist’s guide to efficient coding in Python

Tips and tricks I use for writing clean codes on a day-to-day basis — In this article, I wanted to share a few tips for writing cleaner codes that I have absorbed in the last year — mainly from pair programming. …

Python

11 min read

Data scientist’s guide to efficient coding in Python
Data scientist’s guide to efficient coding in Python
Python

11 min read


Published in

Towards Data Science

·Pinned

Time Series Analysis using Pandas in Python

Bonus intro to keywords like seasonality, trend, autocorrelation, and much more. — Right off the bat, time-series data is not your average dataset! You might have worked with housing data wherein each row represents features of a particular house (such as total area, number of bedrooms, year in which it was built) or student dataset wherein each row represents such information about…

Time Series Analysis

14 min read

Time Series Analysis using Pandas in Python
Time Series Analysis using Pandas in Python
Time Series Analysis

14 min read


Published in

The Startup

·Sep 13

3 Apps to Get You Smarter Faster

And no I am not telling you to go read a book — In a world where continuous learning is not just a choice, but a necessity, the quest for getting smarter has never been more exciting. It is also an important means for escaping the infamous imposter syndrome which has now become the standard rather than an exception. This dynamic drives me…

Productivity

5 min read

3 Apps to Get You Smarter Faster
3 Apps to Get You Smarter Faster
Productivity

5 min read


Jul 6

15 Best History Podcasts of 2023

History of the world — recent and ancient. — This week, I made a conscious decision to take a break from my usual routine of writing technical blogs. Instead, I opted for a rejuvenating hobby that allows me to unwind and de-stress after a long day: listening to captivating podcasts. Engaging with these podcasts has become a form of…

Podcast

7 min read

15 Best History Podcasts of 2023
15 Best History Podcasts of 2023
Podcast

7 min read


Published in

Trusted Data Science @ Haleon

·May 30

Deriving insights from customer queries on Haleon brands

How to build a dashboard for generating insights — by Dr. Varshita Sher, Zohaib Khan Introduction Haleon has a world-class portfolio of category-leading global brands, including Sensodyne, Voltaren, Panadol, and Centrum, to name a few. Our brands are trusted by health professionals, customers, and people worldwide to improve the health and well-being of individuals and their communities. …

NLP

5 min read

Deriving insights from customer queries on Haleon brands
Deriving insights from customer queries on Haleon brands
NLP

5 min read


Nov 30, 2022

Using Causal ML Instead of A/B Testing
1.1K
17

Samuele Mazzanti

Thanks, Samuele.

Thanks, Samuele. This is brilliant. Clearly the cut off assumption plays a big role here in generating the predictor matrix. Do you have any recommendations in this regard - perhaps trying a bunch of cut offs, averaging, etc and the impact on the outcome, if any?

1 min read

1 min read


Nov 11, 2022

Why use `mono=False` when loading the audio with librosa?
1

Cleo Lafayette

That's cause we don't want to average samples across different channels (and risk losing some…

That's cause we don't want to average samples across different channels (and risk losing some signal in data) and ultimately convert the audio into 1-D array (especially when HuBERT can handle multi-dimensional audio arrays).

1 min read

1 min read

Dr. Varshita Sher

Dr. Varshita Sher

3.7K Followers

Senior Data Scientist | Explain like I am 5 | Oxford & SFU Alumni | https://podurama.com | Top writer on Medium

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