Data Science Weekly - Data Science Weekly - Issue 437

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Issue #437

April 07 2022

Editor 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...
 
 

A Message from this week's Sponsor:

 



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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...๐Ÿš€...Apprenticeships pay YOU to learn the skills while you work and gain mentorship from others...๐Ÿฅณ...Here are some paying upwards of $3-6K per month.๐Ÿงต...
  • 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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*Sponsored post. If you want to be featured here, or as our main sponsor, contact us!

 
 

Jobs

 
  • Lead Data Engineer - electricityMap - Copenhagen, Denmark

    The electricityMap team is hiring a data engineer to help us build and maintain a scalable data pipeline and database that forms the foundation of our mission to accelerate the energy system to a zero-carbon future.

    In your role, you’ll be making sure the quality and availability of our data is stellar by building and improving our data infrastructure, as well as managing our internal tools. You will also be responsible for managing our machine learning pipelines at scale. We’re a small team, so you’ll be owning a lot of your own work and initiatives, but we will be there to support you!

     

        Want to post a job here? Email us for details --> team@datascienceweekly.org

 
 

Training & Resources

   
 

Books

 

 
  • Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits


    Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems...

    For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page.
     


    P.S., Enjoy the newsletter? Please forward it to your friends and colleagues - we'd love to have them onboard :) All the best, Hannah & Sebastian
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Data Science Weekly - Issue 436

Thursday, March 31, 2022

Curated news, articles and jobs related to Data Science. Keep up with all the latest developments Email not displaying correctly? View it in your browser. Issue #436 March 31 2022 Editor Picks Stop

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Friday, March 25, 2022

Curated news, articles and jobs related to Data Science. Keep up with all the latest developments Email not displaying correctly? View it in your browser. Issue #435 March 24 2022 Editor Picks

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Thursday, March 17, 2022

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Friday, March 11, 2022

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Data Science Weekly - Issue 432

Thursday, March 3, 2022

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