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Data Science Weekly Newsletter
April 7, 2022

Editor's Picks

  • There’s more to data than distributions
    Distribution shift is a fundamental challenge in machine learning, and whenever we attempt to deploy machine learning in the real world without considering the way in which that real world environment can change (whether its changes in technology (e.g., software vendors)), changes in population and setting (e.g., new demographics), or changes in behavior (e.g., new reimbursement incentives), then we fail to properly consider the ways in which the data can change or shift between train and test environments. If not considered, the model will inevitably fail....
  • What I learned from the Data Council 2022 data science conference
    I attended the data science/data engineering conference Data Council 2022 this week. This is my first time attending this conference. One thing special about this conference is that there are a lot of startups and investors. There are several interesting themes we noticed...
  • σ-driven project management: when is the optimal time to give up?
    Hi! It's your friendly project management theorician. You might remember me from blog posts such as "Why software projects take longer than you think", which is a blog post I wrote a long time ago positing that software projects completion time follow a log-normal distribution...My thesis for this blog post is that σ is an inherent property of the type of risk you have in your project portfolio, and that different values for σ warrants very different types of project management...

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Data Science Articles & Videos

  • Exploring Neural Networks Visually in the Browser
    What I wanted for neural networks: A constrained, simplified environment for building basic network topologies and experimenting live to see visually how different layer counts, sizes, activation functions, hyperparameters, etc. impact their functionality and performance...With this goal in mind, I created a browser-based tool for building, training, visualizing, and experimenting with neural networks. Since it runs on the web, I've embedded it directly in this post...
  • Tech Apprenticeships are opening everywhere! [Twitter Thread]
    Tech Apprenticeships are opening everywhere! They are opportunities to pivot to a tech career whether you have a degree or not......Apprenticeships pay YOU to learn the skills while you work and gain mentorship from others...🥳...Here are some paying upwards of $3-6K per month.🧵...
  • Andrew Ng: Unbiggen AI
    Google Brain co-founder and Landing AI founder Andrew Ng has become an evangelist for what he calls the data-centric AI movement. “Collecting more data often helps," he says. "But if you try to collect more data for everything, that can be a very expensive activity.”...
  • Javis.jl - Julia Animations and Visualizations [Video]
    Javis.jl is a general purpose animation library which builds on top of the Luxor.jl graphics library...It fills a gap in the Julia ecosystem by providing functionality to create object based animations to communicate complex ideas through simple means. Furthermore, Javis provides the flexibility for users to extend Javis’s visualizations to a variety of applications. Users are already expressing complicated ideas through winsome domain specific visuals such as planetary motion or brain mapping....
  • Everything gets a package? Yes, everything gets a package.
    I recently read Ethan Rosenthal's Python Data Science setup, and I loved every line of it. His blog post encapsulates some of the best of the ideas that I wrote about in my Data Science Bootstrap knowledge base. In this blog post, I'd like to share my own data science setup and some new tooling that I've been working on to make it easy to achieve the same goals as I have...
  • Best of the visualisation web...December 2021
    Since 2010 I have compiled and published monthly collections of links to some of the best, most interesting, or thought-provoking data visualisation-related content I come across. These collections are not always published immediately after the month in question has ended, but I try to do so as soon as my workload permits!...Here's a collection of some of the best content I encountered during December 2021...

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