Deep Learning, NLP, NMT, AI, ML
This article was published as a part of the Data Science Blogathon Introduction Regex is a shorthand for Regular Expression. It is a representation for a set, a set of strings. Say we have a list of emails and we want to check if they are in the correct format or not. One way is to check each and every mail manually but that’s not possible if the number of mails is quite high. So, regex here comes to your rescue. […]
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This article was published as a part of the Data Science Blogathon Introduction In today’s life, a large amount of raw data is available in every sector in the form of text, audio, videos, etc. This data can be used to analyze a wide range of factors which can be used further to make some decisions or predictions. But for this, the raw data has to organize or summarized for getting better outcomes. Here comes the role of NLP, which is […]
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This article was published as a part of the Data Science Blogathon Introduction Data from the internet forms a huge source of information these days. We have an overwhelming amount of data available, which includes text, audio, and videos. Text information forms a major source of information amongst these. Natural language processing includes the task of analyzing, modifying, and deriving conclusions from text data. These text or speech data are completely unstructured and messy. A great amount of effort is required […]
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This article was published as a part of the Data Science Blogathon In any Machine learning task, cleaning or preprocessing the data is as important as model building. Text data is one of the most unstructured forms of available data and when comes to deal with Human language then it’s too complex. Have you ever wondered how Alexa, Siri, Google assistant can understand, process, and respond in Human language. NLP is a technology that works behind it where before any response […]
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Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from whichever standpoint you look at it. A pandemic raged around the world and yet it failed to dim the light on data science. The thirst to learn more continued unabated in our community and we saw some incredible developments and breakthroughs this year. From OpenAI’s mind-boggling GPT-3 framework to Facebook’s DETR model, this was a year […]
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Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5 datasets each for machine learning, computer vision, and NLP By no means is this list exhaustive. Feel free to add other datasets in the comments below Introduction For the things we have to learn before we can do them, we learn by doing them -Aristotle I am sure everyone can attest to this saying. No […]
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Introduction “Should I use GitHub for my projects?” – I’m often asked this question by aspiring data scientists. There’s only one answer to this – “Absolutely!”. GitHub is an invaluable platform for data scientists looking to stand out from the crowd. It’s an online resume for displaying your code to recruiters and other fellow professionals. The fact that GitHub hosts open-source projects from the top tech behemoths like Google, Facebook, IBM, NVIDIA, etc. is what adds to the gloss of […]
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Overview Hackathons are a wonderful opportunity to gauge your data science knowledge and compete to win lucrative prizes and job opportunities Here are the top 3 approaches from the Innoplexus Sentiment Analysis Hackathon – a superb NLP challenge Introduction I’m a big fan of hackathons. I’ve learned so much about data science from participating in these hackathons in the past few years. I’ll admit it – I have gained a lot of knowledge through this medium and this, in […]
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Overview Text analytics is becoming easier with many people working day and night on each aspect of Natural Language Processing We list a set of people to follow in the field NLP Feel we should include anyone else? Let us know! Introduction Natural Language Processing has made unstructured text data analysis simpler. With numerous applications, NLP is affecting and adding values to millions of lives. But the problem NLP practitioners face is catching up with the changes that happen […]
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Introduction Artificial Intelligence has become a very popular term today. There is sure to be at least one article in the newspaper daily on the revolutionary advancements made in the field. But, there seems to be some confusion about what AI really is. Is it Robotics? Will the Terminator movie actually come true? Or is it something that has crept into our daily lives without us even realizing it? This article will give you a broad understanding on the buzzwords […]
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