ISSUE 356  ·   October 5, 2021

Trends

The 2021 Machine Learning, AI and Data Landscape

Matt Turck's annual deep dive into the data and AI ecosystem is a tour de force of the key trends and players that are shaping data's future. There's a LOT here but it's very well-organized, starting with a high-level view of the ecosystem and where things are going. Start there!
Matt Turck, VC at FirstMark

The Exponential Age 

It's hard for us to fathom exponential change but our inability to do so could tear apart businesses, economies and the fabric of society. And, on the other hand, the gap between the old way of thinking and the exponential way of thinking is where all the opportunity is.
Wired | Azeem Azhar

Sponsored Link

Announcing Pinecone 2.0 and the Free Plan

Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. Use it to build semantic text search, image/audio search, recommendation systems, and more into your applications. Learn more and get started today→

Tutorials, Projects & Opinions

The human regression ensemble

For simple problems, you might not need fancy algorithms. "Just stare hard at the data, use your intuition, and make a guess." Here's a fun experiment that shows how a best guess might actually do when compared against common machine learning algorithms.
Justin Domke

SQLite Playground

SQLime is an online SQLite playground for debugging and sharing SQL snippets. It's kind of like JSFiddle or CodePen, but for SQL instead of JavaScript. You can connect to any database and queries are saved as private GitHub gists within your own account so the data stays private.
SQLime | Anton Zhiyanov

Why Embedded Analytics Is the Future of Data Utilization

Discover the value your company can derive by embedding analytics in
your day-to-day workflows and products. Read this visual white paper
for case studies and critical questions to help assess your company’s
data usage. Get your free copy.
// sponsored

Resources

The Art of Linear Algebra

Awesome, visual approach to thinking about linear algebra. Based on Gilbert Strang's Linear Algebra for Everyone.
GitHub | Kenji Hiranabe

Yann LeCun’s Deep Learning Course - Spring 2021

Yann LeCun's introduction to deep learning is gold for anyone interested in getting started in deep learning. It's tailored for remote learning and includes a complete set of lectures, slides, notes, and Jupyter notebooks. Free. 
NYU Center for Data Science

Data Visualization

Analyzing Time Series Data

This new tutorial series explores ways to visualize data that changes over time. Topics include chart selection, forecast analysis, correlation, date patterns and more. This looks like an awesome series with lots of screenshots, code snippets, and useful discussion that concludes with a live, online workshop with the authors.
Observable | Zan Armstrong, Ian Johnson, and Mike Freeman

Towards a Theory of Bullshit Visualization

This paper explores the idea that a lot of visualizations these days "do not have even the common decency to intentionally lie but are totally unconcerned about the state of the world or any practical utility." In other words, they're just bullshit. This is an insightful read with lots of examples of commonly missed perceptions.
Tableau Research | Michael Corre

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