All Hands on Data #101
For our newest subscribers, welcome to issue 101 of All Hands on Data! It's only fitting that 101 is your introduction to our newsletter, check out this week's roundup of articles from our team.
Article Recommendations
Alex Garcia-Outlier 2022-Command Line Data Visualizations
I'm breaking all the rules and including a YouTube video but I think it's a cool one. The presenter does a neat, short rundown of a number of command line-based tools for visualizing data. Super cool if you want to whip up a small script to impress your coworkers. - John Forstmeier
Data-Driven Sustainability: Beyond Numbers, Towards Action
Climate change is a serious matter that requires everyone's attention. Taking action towards a more sustainable future is crucial. The concept of data-driven sustainability is promising and should be embraced by companies sooner rather than later. - Jon Davidson
AI Helps Nestle Develop Drought, Disease Resistant Coffee
This showcases a practical application of data science in agriculture, highlighting how AI-driven methods are being used to improve crop resilience and sustainability. - Johnathan Rodriguez
Algorithmic Thinking for Data Scientists
Chinmay argues that algorithmic thinking is crucial for data science projects as organizations push to streamline their data operations. The recommendation I found most interesting is that one should develop an intuition around algorithmic thinking by solving example coding problems. By practicing, you not only can find solutions faster, but you can more easily identify problems that you might not have noticed otherwise. - Katt Baum
Podcast Recommendations
The TWIML AI Podcast - May 20, 2024 - Chronos: Learning the Language of Time Series
In this podcast, Abdul Fatir Ansari discusses Chronos, a new approach to time series forecasting using language models. He explains how Chronos tokenizes time series data so it can leverage transformer models like T5, allowing it to achieve strong performance even on unseen datasets.
Data Skeptic - May 20, 2024 - HMMs for Behavior
This podcast explores how statisticians and ecologists collaborate to understand animal behavior using tracking data and time series models like hidden Markov models. It gives an overview of the field and discusses specific techniques for modeling movement patterns to infer behavioral states.