NTM: Neural Turing Machines
Author(s): Sherwin Chen Originally published on Towards AI. A detailed walk-through of Neural Turing Machines Top highlight Photo by Kvistholt Photography on Unsplash We discuss Neural Turing Machine(NTM), an architecture proposed by Graves et al. in DeepMind. NTMs are designed to solve …
Deep Learning: Past, Present, and Future…
Author(s): Shubham Saboo Originally published on Towards AI. “Everything that is possible demands to exist” — Gottfried Wilhelm Leibniz Introduction Deep Learning is a subset of Artificial Intelligence that falls under the umbrella of machine learning. It is inspired by the structure …
DNC: Differential Neural Network
Author(s): Sherwin Chen Originally published on Towards AI. A detailed walk-through of DNC Photo by Philipp Katzenberger on Unsplash In the previous article, we discussed Neural Turing Machines(NTMs), which introduced an external memory to maintain information for later retrieval. In this post, …
Realbotix and MelNet… Because they Already Can
Author(s): Dr. Adam Hart Originally published on Towards AI. In the 15th Century, mannequins, a type of life-size doll with static articulated limbs, evolved to support the work of dressmakers. At the turn of the 20th Century, David Hilbert famously outlined his …
A Simple Post-Processing Step to Improve the Fairness of Collaborative Recommender Systems
Author(s): ___ Originally published on Towards AI. Overview In this article, I will describe an algorithm that can be applied as a post-processing step to alleviate the popularity bias inherent in collaborative filtering-based recommender systems. The content of this article is based …
A Decision Support System for Disaster Risk Management in Madagascar
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. Addressing natural disaster risk as a data science consultancy One of the challenges posed by climate change is the increased risk of catastrophic natural events. These are likely to disproportionately affect most vulnerable areas …
Geolocation Data Analysis of Lagos.
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Using EDA and Machine Learning to find prime office locations in Lagos The problem we’re going to solve using Geolocation data analysis and Machine Learning, is helping a new Tech Start-Up find the …
Emoticon and Emoji in Text Mining
Author(s): Dhilip Subramanian Originally published on Towards AI. Converting Emoticon and Emoji into word form using Python Source: wallpaperplay In today’s online communication, emojis and emoticons are becoming the primary language that allows us to communicate with anyone globally when you need …
The Too-small World of Artificial Intelligence
Author(s): Sergii Shelpuk Originally published on Towards AI. Overcrowded and overlooked parts of the AI world I spent the last eight years as an insider of the artificial intelligence (AI) community, working for different companies and in various roles. At DeepTrait, with …
A Gentle Introduction to Graph Embeddings
Author(s): Edward Ma Originally published on Towards AI. TransE Top highlight Photo by Edward Ma on Unsplash Instead of using traditional machine learning classification tasks, we can consider using graph neural network (GNN) to perform node classification problems. By providing an explicit …
Death, Taxes and AI-enabled Social Media
Author(s): Dr. Adam Hart Originally published on Towards AI. The 13th Century Chichester Guildhall “Bad as he is, the Devil may be abus’d, Be falsly charg’d, and causelesly accus’d, When Men, unwilling to be blam’d alone, Shift off these Crimes on Him …
Random Walk in Node Embeddings (DeepWalk, node2vec, LINE, and GraphSAGE)
Author(s): Edward Ma Originally published on Towards AI. Graph Embeddings Top highlight Photo by Steven Wei on Unsplash Instead of using traditional machine learning classification tasks, we can consider using graph neural network (GNN) to perform node classification problems. By providing an …
A Practical Tip When Working With Random Samples On Spark
Author(s): ___ Originally published on Towards AI. In this article, I will share a crucial tip when using Spark to analyze a random sample of a data frame. The code to reproduce the results can be found here. It’s an HTML version …
Building a Spam Detector Using Python’s NTLK Package
Author(s): Bindhu Balu Originally published on Towards AI. NTLK — Natural Language ToolKit In this part, we will go through an end to end walkthrough of building a very simple text classifier in Python 3. Our goal is to build a predictive …
4 Graph Neural Networks you Need to Know (WLG, GCN, GAT, GIN)
Author(s): Edward Ma Originally published on Towards AI. Top highlight Photo by Edward Ma on Unsplash We went through Knowledge Graph Embeddings and Random Walk in previous graph neural network stories. Knowledge graph embeddings train entity embeddings for downstream tasks. On the …
Recent Posts
