Multi-Label Text Classification Using Scikit-multilearn: a Case Study with StackOverflow Questions
Author(s): Avishek Nag Originally published on Towards AI. Designing a multi-label text classification model which helps to tag stackoverflow.com questions with different topics Everyday users of stackoverflow.com posts many technical questions and all those get tagged with different topics. In this article, …
Demystifying the Architecture of Long Short Term Memory (LSTM) Networks
Author(s): Manish Nayak Originally published on Towards AI. Architecture of LSTMs U+007C Towards AI Introduction In my previous article, I explain RNNs’ Architecture. RNNs are not perfect and they mainly suffer from two major issues exploding gradients and vanishing gradients. Exploding gradients …
How to Use scikit-learn ‘eli5’ Library to Compute Permutation Importance?
Author(s): Abhinav Prakash Originally published on Towards AI. Feature Permutation Importance with ‘eli5’ U+007C Towards AI Understanding the workings of scikit-learn’s ‘eli5’ library to compute feature importance on a sample housing dataset and interpreting its results cc: Forbes Most of the Data …
The ABCs of PyTorch in 4 Minutes
Author(s): Rohit Sharma Originally published on Towards AI. PyTorch 101 U+007C Towards AI Introducing the basics of PyTorch in four minutes, with sample code © AITS (www.ai-techsystems.com) This article helps newbies to get started with python PyTorch in 2 minutes with code …
Big Data, AI & IoT Part Two: Driving Industry 4.0 One Step At A Time
Author(s): Charles Towers-Clark Originally published on Towards AI. Factories, refineries, utilities and all manner of industrial environments will benefit from AI, Big Data, and IoT, but what will it take to get there? UNSPLASH What comes to mind when you think of …
Big Data, AI & IoT, Part Three: What’s Stopping Us?
Author(s): Charles Towers-Clark Originally published on Towards AI. The progress of AI, Big Data and IoT has been well-documented, but there are still major hurdles to cross before they achieve their full potential. JOHN CAMERON, UNSPLASH This series of articles have looked …
MINE: Mutual Information Neural Estimation
Author(s): Sherwin Chen Originally published on Towards AI. Estimating mutual information using arbitrary neural networks through MINE Source: istock.com/ipopba Mutual information, also known as information gain, has been successfully used in the context of deep learning(which we will see soon) and deep …