It can sometimes be challenging to collaborate with team members especially in a setting where everyone is remote. I wanted to improve this for our team, and since Slack was one of the most widely used means of communication and collaboration, I wanted to look into how other teams were using Slack effectively. These are some things I found, along with some personal thoughts, that I think are important to keep in mind:

This tutorial is based on the book Deep Learning with Pytorch and is mostly focused on the PyTorch API and Part I of the book (see also the Jupyter notebook). Refer to the book and its corresponding code on Github for more detail.

We’ll walk through the calculations needed for gradient-based learning in a simple network with one hidden layer.

Testing code in data science isn’t always as straightforward as with software development. In this post we’ll outline some tools, techniques, and tips to avoid being woken up in the middle of the night from a pager.

Notes from the book High Performance Python

Given an observed time series $\mathbf{x} = x_1, x_2,…,x_n$ the goal is to study past observations in order to capture the structure of the series in a mathematical model. The model is then used to generate future values for the series in order to make predictions.