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Weekly Selection – Apr 19, 2019

Gentle Dive into Math Behind Convolutional Neural Networks

By Piotr Skalski – 12 min read

Autonomous driving, healthcare or retail are just some of the areas where Computer Vision has allowed us to achieve things that, until recently, were considered impossible.


Mathematical programming – a key habit to build up for advancing in data science

By Tirthajyoti Sarkar – 9 min read

We show how, by simulating the random throw of a dart, you can compute the value of pi approximately. This is a small step towards building the habit of mathematical programming, which should be a key skill in the repertoire of a budding data scientist.


Comprehensive Introduction to Autoencoders

By Matthew Stewart, PhD Researcher – 15 min read

In the following weeks, I will post a series of tutorials giving comprehensive introductions into unsupervised and self-supervised learning using neural networks for the purpose of image generation, image augmentation, and image blending.


Animations with Matplotlib

By Parul Pandey – 6 min read

Animations are an interesting way of demonstrating a phenomenon. We as humans are always enthralled by animated and interactive charts rather than the static ones.


Becoming a Data Scientist – When Dan Becker pointed out I had it all wrong

By Lai Queffelec – 5 min read

Have you ever had a moment in your career when you think you’re on the right path, when you’re following a steady plan that leads you right to where you want to be and then have someone kick your plan in the nuts and show you by A + B that you have it all wrong?


Create a complete Machine learning web application using React and Flask

By Karan Bhanot – 6 min read

I have always wanted to develop a complete Machine learning application where I would have a UI to feed in some inputs and the Machine learning model to predict on those values.


The Class Every Reinforcement Learning Researcher Should Take

By Vincent Vanhoucke – 6 min read

My team just spent a day hanging out with some Very Good Boys and some Very Good Girls, all in the name of research.


Explaining probability plots

By Eryk Lewinson – 9 min read In this article I would like to explain the concept of probability plots – what they are, how to implement them in Python and how to interpret the results.


Our Identities In The Age of Artificial Intelligence

By Jun Wu – 7 min read

One of my favorite spiritual teachers, Eckhart-Tolle defines identity as the story of oneself. This story is told by your thoughts through memories and expectations.


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