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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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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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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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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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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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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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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What is Machine Learning?

Last Updated on August 16, 2020 You’re interested in Machine Learning and maybe you dabble in it a little. If you talk about Machine Learning with a friend or colleague one day, you run the risk of someone actually asking you: “So, what is machine learning?“ The goal of this post is to give you a few definitions to think about and a handy one-liner definition that is easy to remember. We will start out by getting a feeling for […]

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Practical Machine Learning Problems

Last Updated on January 20, 2018 What is Machine Learning? We can read authoritative definitions of machine learning, but really, machine learning is defined by the problem being solved. Therefore the best way to understand machine learning is to look at some example problems. In this post we will first look at some well known and understood examples of machine learning problems in the real world. We will then look at a taxonomy (naming system) for standard machine learning problems […]

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Best Machine Learning Resources for Getting Started

Last Updated on August 16, 2020 This was a really hard post to write because I want it to be really valuable. I sat down with a blank page and asked the really hard question of what are the very best libraries, courses, papers and books I would recommend to an absolute beginner in the field of Machine Learning. I really agonized over what to include and what to exclude. I had to work hard to put myself in the […]

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