Speakers in multilingual communities often code-mix (blending multiple languages in each sentence), and NLP systems need to perform reliably on code-mixed input to allow such communities to fully express themselves. However, most cross-lingual datasets are unable to test for code-mixing. To address this limitation, we created 2 highly effective multilingual adversarial attacks that push the ability of state-of-the-art NLP models to handle code-mixed input.
Hot on the heels of my recent LinkedIn article on the topic, this Edureka video “𝐇𝐨𝐰 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫” will guide you through the steps to learn and have a successful career in…
Look up the HTML entity for a Unicode character, if there is one, or look up the Unicode value of an HTML entity.
Pandas is a Python library that’s all about data structures and tables. In this video Mariya will cover its important methods as well as all the tricks and shortcuts to get you to pro level w…
How did a company in the mid 2000s figure out how to cut the cost of computing six times over, and why haven’t any of us heard of it? How did they work around Microsoft’s legal limitati…
This article was published as a part of the Data Science Blogathon. Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […]
A simple, yet powerful, optimization technique that will make your programs run about 2.5 times faster
This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […]
Why do we need augmentation?
Building Good Habits As A Developer
Want to learn how to use Kaldi for Speech Recognition? Check out this simple tutorial to start transcribing audio in minutes.
This guide is about How to Track Wildfires on Google Maps. So read this free guide, How to Track Wildfires on Google Maps step by step. If you have query
The case for enforcing schema and detecting drift before it’s too late
Contrend uses AI to discover your audience's content preferences. We spoke with the company to learn how.
Learn about Fully Convolutional Networks (FCNs) for Segmentation. If you want to use FCNs for real-time segmentation using Torch Hub, this tutorial is for you.
This library lets you easily see which words contribute the most in terms of self-attention score in each layer and head to the output…
As you adopt a DataOps strategy to help make your business a data business, here are four key things to keep in mind.
Easy follow guide to delete, read, and write to a file using Python
Example of a word problem that comes up in modal logic that can be solved with regular expressions.
While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good familiarity of such details. A solid understanding of the intuition behind such algorithms not only helps in appreciating the logic behind them but also helps in making… Read More »Key Graph Based Shortest Path Algorithms With Illustrations – Part 1: Dijkstra's And Bellman-Ford Algorithms
In this article, some more social networking concepts will be illustrated with a few problems. The problems appeared in the programming assignments in the coursera course Applied Social Network Ana…
Introduction Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (graphical and quantitative) to better understand data. It is easy to get lost in the visualizations of EDA and to also lose track of the purpose of EDA. EDA aims to make the downstream analysis easier. To put… Read More »Interpreting Exploratory Data Analysis (EDA)
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