ISSUE 437 · May 23, 2023

Trends

Hachette v. Internet Archive and the Future of Data Access

A recent ruling determined that the Internet Archive's lending program violates copyright laws. This post breaks down the issues and explores how the ruling sets a new precedent in the ongoing debate about copyright law, fair use, and preservation of knowledge in the digital age.
Nightingale | William Careri

Sponsored Link

Learning data science through social media

When Parmida Beigi isn’t busy pursuing speech recognition and NLP initiatives as a senior research scientist at Amazon, she can be found on social media using her skills and lifetime worth of experience to help others grow into machine learning career paths.

Tutorials & Opinions

Tackling Climate Change with Machine Learning

This site from the recent ICLR 2023 Workshop includes links to papers, tutorials and proposals that explore ways that machine learning can be used to tackle climate change. There's a lot here and if you're interested in this space, it's worth getting on their mailing list.
ICLR 2023 Workshop

Understanding database Indexes in PostgreSQL

This post will help you understand how database indexes work and how to use them effectively. It's written with PostgreSQL in mind but it starts with the basics and can be helpful for understanding other databases too.
Become mastermind | Paweł Dąbrowski

A Comprehensive Guide to Vector Databases

Vector databases are a new wave of data management designed for time-series applications, generative AI, and IoT. Here’s why they matter, what makes them different, how they work, the new use cases they’re designed for, and how to get started.
KDB AI

Sharpen your math, CS and data skills in 15 minutes a day

For professionals and lifelong learners alike, Brilliant is one of the best ways to learn. The deets: Bite-sized interactive lessons make it easy to level up in everything from math and data science to AI and beyond. Join 10+ million people building skills every day. Start your 30-day free trial today!
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Tools & Code

Deepchecks

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort. This includes checks related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.
GitHub | deepchecks

Resources

MLOps guide

Awesome collection of MLOps resources, from introductory to advanced. Includes posts, tutorials, lectures, book excerpts, case studies, key repos and more.
Chip Huyen

Data Visualization

Introduction to Data Visualization for the Web

This selection of posts, books, and videos is a great introduction to doing data visualization for the web. The selections here are based on a course at the University of Washington and is essentially, a collection of must-reads for anyone interested in this space.
Colin Megill

ggblend: Blending & compositing algebra for ggplot2

ggblend is an algebra of operations for blending, copying, adjusting, and compositing layers in ggplot2. It allows you to easily copy and adjust the aesthetics or parameters of an existing layer, to partition a layer into multiple pieces for re-composition, and to combine layers using blend modes, like "multiply", "overlay", etc.
GitHub | Matthew Kay

Outlier

Word Salad

A chatbot pretending to be knowledgeable is today's version of Adriano Celentano's hit song, "Prisencolinensinainciusol". That chart-busting song from 1972 used made-up words to sound like English but was completely nonsensical. Likewise, chatbots have learned to sound good. But you need to pay attention to be sure they actually make sense.
Vimeo | Adriano Celentano

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