Every Machine Learning Algorithm Can Be Represented as a Neural Network
The Algorithm of Algorithms
More from Towards Data Science
Spinning Data into Thought
How Computers Think: Introduction
You May Also Like
People Are Dating All Wrong, According to Data Science
Large data sets provide intriguing—and dismaying—insights into who we're drawn to and how much that matters for our romantic happiness.
We Need A Standard Unit Of Measure For Risk
More than three decades ago a Stanford professor proposed a uniform way of expressing your odds of dying from a specific cause: the micromort. It’s time it went mainstream.
«unit of measurement like the micromort is fundamentally personal in nature: it’s the threat faced by a single person over a specific period»
Are You Ready to Hire a Data Scientist? Advice for Founders
Are you ready to hire a data scientist? Mengying Li, Growth Data Science Lead at Notion, shares her framework for testing whether you should invest in this key hire and how to find the right data…
Researchers Warn We Could Run Out of Data to Train AI by 2026. What Then?
AI trained on ever-more data has yielded ChatGPT and DALL-E 3. But research shows online data stocks are growing more slowly than datasets used to train AI.
«Another option is to use AI to create synthetic data to train systems. In other words, developers can simply generate the data they need, curated to suit their particular AI model.»
The limits of our personal experience and the value of statistics
The world is huge; to get a clear idea of what our world is like, we have to rely on carefully collected, well documented statistics.
What is Refind?
Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.
How does Refind curate?
It’s a mix of human and algorithmic curation, following a number of steps:
- We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
- In addition, our users save links from around the web using our Save buttons and our extensions.
- Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
- Our community of active users gets the most relevant links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, mark as read, read later, «More/less like this», etc.
- Our algorithm uses these internal signals to refine the selection.
- In addition, we have expert curators who manually curate niche topics.
The result: lists of the best and most useful articles on hundreds of topics.
How does Refind detect «timeless» pieces?
We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.
How many sources does Refind monitor?
We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
Can I submit a link?
Indirectly, by using Refind and saving links from outside (e.g., via our extensions).
How can I report a problem?
When you’re logged-in, you can flag any link via the «More» (...) menu. You can also report problems via email to hello@refind.com
Who uses Refind?
400k+ smart people start their day with Refind. To learn something new. To get inspired. To move forward. Our apps have a 4.9/5 rating.
Is Refind free?
Yes, it’s free!
How can I sign up?
Head over to our homepage and sign up by email or with your Twitter or Google account.