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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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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11 Superb Data Science Videos Every Data Scientist Must Watch

Overview Presenting 11 data science videos that will enhance and expand your current skillset We have categorized these videos into three fields – Natural Language Processing (NLP), Generative Models, and Reinforcement Learning Learn how the concepts in these videos work and build your own data science project!   Introduction I love learning and understanding data science concepts through videos. I simply do not have the time to pour through books and pages of text to understand different ideas and topics. […]

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Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)

Introduction There’s nothing quite like GitHub and Reddit for data science. Both platforms have been of immense help to me in my data science journey. GitHub is the ultimate one-stop platform for hosting your code. It excels at easing the collaboration process between team members. Most leading data scientists and organizations use GitHub to open-source their libraries and frameworks. So not only do we stay up-to-date with the latest developments in our field, we get to replicate their models on our […]

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Top 6 Open Source Pretrained Models for Text Classification you should use

Introduction We are standing at the intersection of language and machines. I’m fascinated by this topic. Can a machine write as well as Shakespeare? What if a machine could improve my own writing skills? Could a robot interpret a sarcastic remark? I’m sure you’ve asked these questions before. Natural Language Processing (NLP) also aims to answer these questions, and I must say, there has been groundbreaking research done in this field towards bridging the gap between humans and machines. One […]

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8 Awesome Data Science Capstone Projects from Praxis Business School

Introduction It is not the strongest or the most intelligent who will survive but those who can best manage change. Evolution is the only way anything can survive in this universe. And when it comes to industry relevant education in a fast evolving domain like Machine Learning and Artificial Intelligence – it is necessary to evolve or you will simply perish (over time). I have personally experienced this first hand while building Analytics Vidhya. It still amazes me to see […]

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