Author: Deep Learner

LANGUAGE MODELLING, Machine Learning

Grounded Compositional Outputs for Adaptive Language Modeling

Language models have emerged as a central component across NLP, and a great deal of progress depends on the ability to cheaply adapt them (e.g., through finetuning) to new domains and tasks. A language model’s emph{vocabulary}—typically selected before training and permanently fixed later—affects its size and is part of what makes it resistant to such adaptation… Prior work has used compositional input embeddings based on surface forms to ameliorate this issue. In this work, we go one step beyond and […]

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Machine Learning

Secure Data Sharing With Flow Model

In the classical multi-party computation setting, multiple parties jointly compute a function without revealing their own input data. We consider a variant of this problem, where the input data can be shared for machine learning training purposes, but the data are also encrypted so that they cannot be recovered by other parties… We present a rotation based method using flow model, and theoretically justified its security. We demonstrate the effectiveness of our method in different scenarios, including supervised secure model […]

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DATA AUGMENTATION, Machine Learning

Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences

Domain adaptation or transfer learning using pre-trained language models such as BERT has proven to be an effective approach for many natural language processing tasks. In this work, we propose to formulate word sense disambiguation as a relevance ranking task, and fine-tune BERT on sequence-pair ranking task to select the most probable sense definition given a context sentence and a list of candidate sense definitions… We also introduce a data augmentation technique for WSD using existing example sentences from WordNet. […]

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Analytics Vidhya, Announcement, Career, Education Leave a comment

Presenting HackLive – A Guided Community Hackathon by Analytics Vidhya’s Data Science Experts!

“There is no alternative to learning through experience.” This quote rings true for every aspect of our life. And it takes on a whole new meaning in data science. Data Science hackathons area great way to: Test your data science knowledge Compete against top data science experts from around the world and gauge where you stand Get hands-on practice of a data science problem working in a deadline environment Improve your existing data science skillset Enhance your existing data science […]

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Beginner, Business Analytics, Excel, Statistics Leave a comment

10 Statistical Functions in Excel every Analytics Professional Should Know

Overview Microsoft Excel is an excellent tool for learning and executing statistical functions Here are 12 statistical functions in Excel that you should master for a successful analytics career   Let’s Excel in Statistics! “Statistics is the grammar of Science.” – Karl  Pearson Let’s make that a bit more relevant for us – Statistics is the grammar of “Data” Science. You’ll notice that almost every successful data science professional or analytics professional has a solid understanding of statistics – but […]

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Beginner, Cloud Computing, Data Science Leave a comment

What is AWS? Why Every Data Science Professional Should Learn Amazon Web Services

Overview Amazon Web Services (AWS) is the leading cloud platform for deploying machine learning solutions Every data science professional should learn how AWS works   Introduction “Your machine ran out of memory.” Sounds familiar? It certainly is for me – especially anytime I try to run a complex machine learning algorithm on my personal machine. It’s quite a frustrating experience that a lot of data science professionals feel. We don’t have the unlimited computing power of the tech behemoths – […]

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Deep Learning, Intermediate Leave a comment

A Quick History of Neural Networks

This article is part of the Data Science Blogathon. Introduction Neural networks are ubiquitous right now. Organizations are splurging money on hardware and talent to ensure they can build the most complex neural networks and bring out the best deep learning solutions. Although Deep Learning is a fairly old subset of machine learning, it didn’t get its due recognition until the early 2010s. Today, it has taken the world by storm and captured public attention in a way that very […]

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Analytics Vidhya, Beginner, Career, Profile Building, Winners Approach Leave a comment

How I Became a Data Science Competition Master from Scratch

Overview Winning data science competitions can be a complex process – but you can crack the top 3 if you have a framework to follow Hear from a top data science hackathon expert and how he went from scratch to winning data science competitions   Introduction There is no alternative to learning through experience. Especially in the data science industry! I recently won the top prize in Zindi’s Zimnat Insurance Recommendation challenge – an achievement that ranks top among my […]

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Artificial intelligence Leave a comment

CodeXGLUE: A benchmark dataset and open challenge for code intelligence

According to Evans Data Corporation, there are 23.9 million professional developers in 2019, and the population is expected to reach 28.7 million in 2024. With the growing population of developers, code intelligence, which aims to leverage AI to help software developers improve the productivity of the development process, is growing increasingly important in both communities of software engineering and artificial intelligence. When developers want to find code written by others with the same intent, code search systems can help automatically […]

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