Netflix Never Used Its Million Algorithm Due To Engineering Costs

Maximizing the Potential of LLMs
Prompt Engineering
AI Homework

A/B testing can be a part of your product development process — but only a part
Principal Component Analysis explained visually

Write a time-series database engine from scratch

The messy, secretive reality behind OpenAI’s bid to save the world

the-gambler-who-cracked-the-horse-racing-code
How to Build OpenAI's GPT-2

Naked Statistics: Stripping the Dread from the Data

Machine Learning Confronts the Elephant in the Room

Stop letting the data decide

The Google Brain Team — Looking Back on 2017 (Part 1 of 2)

Turning brain signals into useful information

What is the most effective way to structure a data science team?

Why SQL is beating NoSQL, and what this means for the future of data

Exploring Histograms, an essay by Aran Lunzer and Amelia McNamara

How to Call B.S. on Big Data

How to Call B.S. on Big Data

Why Do Our Recorded Voices Sound Weird to Us?

Practical advice for analysis of large, complex data sets

Scalable Stream Processing
A guy trained a machine to "watch" Blade Runner. Then things got seriously sci-fi.
How Google is Remaking Itself as a “Machine Learning First” Company
How Big Data Creates False Confidence

Buchanan
Engineers Shouldn’t Write ETL

master-algorithm-pedro-domingos
particles
DataLake

The Wolf of Wall Tweet
questioning-the-lambda-architecture.html
The AI Revolution

Exploring The Epic Chess Match Of Our Time

Cause And Effect

googles-intelligence-designer
markov-chains-explained
google_brain
Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It

How Netflix Reverse Engineered Hollywood
This Data Scientist Spent A Year Deep Inside The New York Times. Here's What He Discovered. — The Content Strategist

big-data-is-great-but-dont-forget-intuition.xml
Latent%20Direlecht%20Allocation.pdf
the-rise-of-the-poll-quants-or-the-demise-of-the-tv-pundits