The Stop Button Paradox
Author(s): Shivam Mohan Originally published on Towards AI. The stop button paradox has been a long-standing unsolved problem in the field of artificial intelligence, with very few proposed solutions that can convincingly solve, even the toy version of the problem. Let’s see …
Have We Learned our Lessons from Italy and South Korea?
Author(s): Bindhu Balu Originally published on Towards AI. Credits: Tracking India’s Coronavirus Spread[WIP] Explore and run machine learning code with Kaggle Notebooks U+007C Using data from multiple data sources www.kaggle.com Python Code and Data Source Location: BindhuVinodh/Covid-19-India Contribute to BindhuVinodh/Covid-19-India development by …
Flattening the Coronavirus Curve
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. What it means, and what we can all do to mitigate the spread Image simulated by Benjamin O. Tayo “Stay at home and save lives. It’s a time of shared national sacrifice, …
Surprisingly Powerful Dataset Exploration Techniques For Rookies
Author(s): Beltus Nkwawir Originally published on Towards AI. Lets explore the COVID-19 dataset and others with interestingly simple yet powerful techniques. Photo by CDC on Unsplash COVID-19 dataset download complete! What now? You must be thinking. That is exactly what I used …
Jupyter Notebook Keyboard Shortcuts for Beginners
Author(s): Magdalena Konkiewicz Originally published on Towards AI. Learn the most important shortcuts to improve your productivity while working with Jupyter notebook editor. Photo by cocoparisinenne on Pixabay When you start with Jupyter notebook most of the people use the menu bar …
Coronavirus Cases in Highly Industrialized Countries
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Italy has been hit the hardest among top industrialized nations. Japan and Russia have the least number of cases and deaths. Italy and the USA are projected to overtake China in the …
AI for Good: Fighting COVID-19 with Data Science
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. This is the first of two articles about our recent participation in the Pandemic Response Hackathon. Stay tuned for technical details of our CoronaRank solution (Markov Chains, R, Shiny, and how to manipulate a …
3 Ways Linear Models Can Lead to Erroneous Conclusions
Author(s): ___ Originally published on Towards AI. In this article, I will share 3 ways in which linear models can lead to erroneous conclusions. The focus will be on fitting linear models to simulated data and checking whether the resultant estimates are …
RFBNet: Custom Object Detection training with 6 lines of code
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Making computer vision easy with Monk, low code Deep Learning tool and a unified wrapper for Computer Vision. In a previous article, we have built a custom object detector using Monk’s RetinaNet. In …
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Author(s): Anchit Bhattacharya Originally published on Towards AI. Paper Summary Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova Disentangling hidden layers of a neural network give us more control and understanding of a neural network Photo by Steve Johnson on Unsplash In …
Review: DCNv2 — Deformable ConvNets v2 (Object Detection & Instance Segmentation)
Author(s): Sik-Ho Tsang Originally published on Towards AI. Enhanced DCN / DCNv1, More Deformable, Better Results Deformable RoI Pooling In this article, Deformable ConvNets v2 (DCNv2), by the University of Science and Technology of China and Microsoft Research Asia (MSRA), is reviewed. …
Python’s List Comprehensions
Author(s): Vivek Chaudhary Originally published on Towards AI. Programming Lists are Python Data structures that are used to store multiple elements in a single variable. List comprehension is a more simple way to define and create a list in python, lists can …