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 …
Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)
Introduction A common challenge I came across while learning Natural Language Processing (NLP) – can we build models for non-English languages? The answer has …
Machine translation is one of the biggest application of NLP. It’s the core system behind Google Translate. Learn how to implement it in Python here.
One of the fundamental concepts of deep learning is recurrent neural networks. Learn how to build and code one from scratch in Python here!
In this article, learn how the algorithm behind DeepMind’s popular AlphaGo and AlphaGo Zero programs works – Monte Carlo Tree Search.
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.
This article provides an introduction to time series classification, it’s various applications, and showcases a python implementation on real-world data.
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!
This learning path is aimed toward those people who want to become a data scientist in 2019, and includes resources like courses, guides and much more!