Top 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)

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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How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models

Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including Google’s BERT Learn how the Transformer idea works, how it’s related to language modeling, sequence-to-sequence modeling, and how it enables Google’s BERT model   Introduction I love being a data scientist working in Natural Language Processing (NLP) right now. The breakthroughs and developments are occurring at an unprecedented pace. From the super-efficient ULMFiT framework to Google’s […]

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How to create a poet / writer using Deep Learning (Text Generation using Python)?

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.               […]

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The 15 Most Popular Data Science and Machine Learning Articles on Analytics Vidhya in 2018

Introduction What is the one thing you enjoy most about Analytics Vidhya? The most popular answer we receive (and have received since Kunal transformed his idea into reality) is the content we publish. Our content is the one thing take pride in, and 2018 saw us take our high-quality content to a whole new level. We launched multiple top-quality and popular training courses, published knowledge-rich machine learning and deep learning articles and guides, and saw our blog visits cross 2.5 million […]

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8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP)

Introduction Natural Language Processing (NLP) applications have become ubiquitous these days. I seem to stumble across websites and applications regularly that are leveraging NLP in one form or another. In short, this is a wonderful time to be involved in the NLP domain. This rapid increase in NLP adoption has happened largely thanks to the concept of transfer learning enabled through pretrained models. Transfer learning, in the context of NLP, is essentially the ability to train a model on one dataset […]

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The Top GitHub Repositories & Reddit Threads Every Data Scientist should know (June 2018)

Introduction Half the year has flown by and that brings us to the June edition of our popular series – the top GitHub repositories and Reddit threads from last month. During the course of writing these articles, I have learned so much about machine learning from either open source codes or invaluable discussions among the top data science brains in the world. What makes GitHub special is not just it’s code hosting and social collaboration features for data scientists. It […]

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The 25 Best Data Science and Machine Learning GitHub Repositories from 2018

Introduction What’s the best platform for hosting your code, collaborating with team members, and also acts as an online resume to showcase your coding skills? Ask any data scientist, and they’ll point you towards GitHub. It has been a truly revolutionary platform in recent years and has changed the landscape of how we host and even do coding. But that’s not all. It acts as a learning tool as well. How, you ask? I’ll give you a hint – open […]

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5 Amazing Deep Learning Frameworks Every Data Scientist Must Know! (with Illustrated Infographic)

Introduction I have been a programmer since before I can remember. I enjoy writing codes from scratch – this helps me understand that topic (or technique) clearly. This approach is especially helpful when we’re learning data science initially. Try to implement a neural network from scratch and you’ll understand a lot of interest things. But do you think this is a good idea when building deep learning models on a real-world dataset? It’s definitely possible if you have days or […]

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A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic)

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google AI’s Transformer to Facebook Research’s XLM/mBERT, we chart the rise of NLP through the lens of these seismic breakthroughs   Introduction Have you heard about the latest Natural Language Processing framework that was released recently? I don’t blame you if you’re still catching up with the superb StanfordNLP library or the PyTorch-Transformers framework! There has been […]

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2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning trends in 2020 – and hear from top experts like Sudalai Rajkumar and Dat Tran!   Introduction 2020 is almost upon us! It’s time to welcome the new year with a splash of machine learning sprinkled into our brand new resolutions. Machine learning will continue to be at the heart of what we do and how […]

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