One of the fundamental concepts of deep learning is recurrent neural networks. Learn how to build and code one from scratch in Python here!
This article is inspired by Deeplearning.ai course where we learn to solve sequence modeling problems and build attention based models.
Here’s a comprehensive list of books, both free and paid, that every aspiring data scientist should have in their book shelf.
Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)
Learn what PyTorch is, how it works, and then get your hands dirty with 4 case studies. You’ll become quite nifty with PyTorch by the end of the article!
Learn how to build your very first image classification model in Python in just 10 minutes! We’ll do this using a really cool case study.
DataHack Radio #15: Exploring the Applications & Potential of Reinforcement Learning with Xander Steenbrugge
Introduction “If intelligence was a cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the …
Interested in learning deep learning but don’t know where to start? We have put together a REALLY comprehensive learning path to get you started in 2019!
What a year it has been for data science. Here’s our pick of the best and most popular articles that were published on Analytics Vidhya in 2018.
2018 was a HUGE year in open source machine learning projects. Here’s our pick of the bunch, with projects divided into different categories.
A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019
From Google’s BERT to Facebook’s PyTorch, 2018 was a HUGE year in ML. Find out what else made the news and what to look forward to in the new year!