Deep Learning, NLP, NMT, AI, ML
Articles About Natural Language Processing
News đź“Ł Inference API: Pricing Announcement đź“Ł We’ve just launched our Inference API beta which lets you run fast inference on any of the 3,000+ models made available by the community. It is an optimized and accelerated version of the open-access API that powers our free inference widgets, available on all of our model pages. ➡️ To subscribe, you will need to create or join an organization and head over to
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News Transformers v3.5.0 Model VersioningThe new release of transformers brings a complete rehaul of the weights sharing system, introducing a brand new feature: model versioning, based on the git versioning system and git-lfs, a git-based system for large files. This version introduces the concept of revisions, allowing weights to be accessed with a given identifier: a tag, branch or commit hash identifier. This is accompanied by a rework of the model hub files user interface, showcasing the
Read more12 Nov20 Issue #107 – When and Why is Unsupervised Neural Machine Translation Useless? Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic Introduction Neural Machine Translation (MT) has engendered a great impulse in the machine translation industry by making MT useful in many use cases in which it wasn’t previously. However, in many low-resourced language pairs and domains, MT is still not viable due to a lack of parallel data. In this context, unsupervised neural MT, which requires […]
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Introduction While searching for things over internet, I always wondered, what kind of algorithms might be running behind these search engines which provide us with the most relevant information? How do they decide which result to show for which set of search keywords. This might be a no brainer for a few people, but definitely an interesting problem for some of the best brains around the world. To find the answer, I read every guide, tutorial, learning material that came my way. Eventually, I learnt […]
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Overview Complete guide on natural language processing (NLP) in Python Learn various techniques for implementing NLP including parsing & text processing Understand how to use NLP for text feature engineering  Introduction According to industry estimates, only 21% of the available data is present in structured form. Data is being generated as we speak, as we tweet, as we send messages on Whatsapp and in various other activities. Majority of this data exists in the textual form, which is highly unstructured […]
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Introduction The data scientist in me is living a dream – I can see top tech companies coming out with products close to the area I work on. If you saw the recent Apple iPhone X launch event, iPhone X comes with some really cool features like FaceID, Animoji, Augmented Reality out of box, which use the power of machine learning. The hacker in me wanted to get my hands dirty and figure out what it takes to build a system like […]
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Introduction From short stories to writing 50,000 word novels, machines are churning out words like never before. There are tons of examples available on the web where developers have used machine learning to write pieces of text, and the results range from the absurd to delightfully funny. Thanks to major advancements in the field of Natural Language Processing (NLP), machines are able to understand the context and spin up tales all by themselves. Â Â Â Â Â Â Â […]
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Introduction The amount of text data being generated in the world is staggering. Google processes more than 40,000 searches EVERY second! According to a Forbes report, every single minute we send 16 million text messages and post 510,00 comments on Facebook. For a layman, it is difficult to even grasp the sheer magnitude of data out there? News sites and other online media alone generate tons of text content on an hourly basis. Analyzing patterns in that data can become […]
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The Learning Path to Become a Data Scientist in 2020 is now live! Head over here to start your data science journey. Introduction Learning paths are immensely popular among our readers and with good reason! Learning paths take away the pain and confusion from the learning process. For those who don’t know what a learning path is – we take the pain of going through all the resources available on data science, machine learning and Artificial Intelligence, select the best […]
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Introduction Fake news is one of the biggest scourges in our digitally connected world. That is no exaggeration. It is no longer limited to little squabbles – fake news spreads like wildfire and is impacting millions of people every day. How do you deal with such a sensitive issue? Millions of articles are being churned out every day on the internet – how do you tell real from fake? It’s not as easy as turning to a simple fact checker. […]
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