Training a Machine Learning Model on a Dataset with Highly-Correlated Features
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import necessary libraries In the previous article (Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot), weβve shown that a covariance matrix plot can be used for feature selection and dimensionality …
Hands-on k-fold Cross-validation for Machine Learning Model Evaluation β Cruise Ship Dataset
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import necessary libraries In the previous article (Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot), weβve shown that a covariance matrix plot can be used for feature selection and dimensionality …
Scalable Efficient Deep-RL
Author(s): Sherwin Chen Originally published on Towards AI. Deficiency of Traditional Distributed RL Photo by Dawid ZawiΕa on Unsplash Traditional scalable reinforcement learning framework, such as IMPALA and R2D2, runs multiple agents in parallel to collect transitions, each with its own copy …
How AI and Circular Economy can save the Fashion industry
Author(s): Rudradeb Mitra Originally published on Towards AI. This article is co-authored with Pia-Maria Laux. A brief bio of the authors is at the end of the article. Let us look at some facts: By 2050 we will need 70% more food, …
Learn to Schedule Communication between Cooperative Agents
Author(s): Sherwin Chen Originally published on Towards AI. A novel architecture for communication scheduling in multi-agent environments Photo by Pavan Trikutam on Unsplash Introduction In multi-agent environments, one way to accelerate the coordination effect is to enable multiple agents to communicate with …
Free ObjDetection API from EazyMind
Author(s): amr zaki Originally published on Towards AI. Object Detection Tutorial, Part I U+007C Towards AI This tutorial series goes through the different APIs that EazyMind (an Ai-As-A-Service platform) offers. EazyMind offers multiple AI services for Free; Obj Detection is one of …
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 Futureβ¦
Author(s): Shubham Saboo Originally published on Towards AI. βEverything that is possible demands to existβ β 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 …
Machine learning model for predicting medium writer earnings
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. On October 22, 2019, Medium unveiled a new model for calculating writerβs earnings. According to this new model, earnings will be calculated based on the reading time of Medium members. You may …
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, …
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 weβre 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 todayβs 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 …
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