Make Art with Math. Become an Artist
Author(s): Mishtert T Originally published on Towards AI. Phyllotaxis Not only Analysis… R can make beautiful things too… “Mathematics is the science of patterns, and nature exploits just about every pattern that there is. ” (Ian Stewart) Phyllotaxy The arrangement of leaves …
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, …
SQL — From Intermediate to Superhero
Author(s): Eyal Trabelsi Originally published on Towards AI. Programming Practical SQL For Advanced Analytics Source: https://www.maximizemarketresearch.com/advance-analytics/ SQL is a programming language used for querying and managing data in databases and has become the backbone of modern analytics. “SQL is the worst form …
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 …
Autonomization: The Future of Jobs
Author(s): Heidar (Amir) Pirzadeh Originally published on Towards AI. Yeah, yet another article on the future of jobs! I mean it’s always safe and easy: if someone predicts this type of thing correctly they will be remembered and they can brag about …
How To Use Counterfactual Evaluation To Estimate Online AB Test Results
Author(s): ___ Originally published on Towards AI. Definition In this article, I will explain a principled approach to estimate the expected performance of a model in an online AB test using only offline data. This is very useful to help decide which …
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 …