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