Netflix Never Used Its Million Algorithm Due To Engineering Costs
Simply explained
Prompt Engineering
the-gambler-who-cracked-the-horse-racing-code
AI Needs Your Data—and You Should Get Paid for It
How the Artificial-Intelligence Program AlphaZero Mastered Its Games
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
fulltext
Yale Professors Race Google and IBM to the First Quantum Computer
Building data infrastructure in Coursera
1606.06565v1.pdf
How to Call B.S. on Big Data
Is it possible to host Facebook on AWS?
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
The Great A.I. Awakening
How the Internet Is Loosening Our Grip on the Truth
Scalable Stream Processing
What’s Next for Artificial Intelligence
How Google is Remaking Itself as a “Machine Learning First” Company
How Big Data Creates False Confidence
Engineers Shouldn’t Write ETL
master-algorithm-pedro-domingos
particles
Google Is 2 Billion Lines of Code—And It's All in One Place
DataLake
How Not to Drown in Numbers
The Wolf of Wall Tweet
questioning-the-lambda-architecture.html
The AI Revolution
Log In or Sign Up to View
google_brain
For the First Time, We Have a Detailed Model of the Universe
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
The Man Who Would Teach Machines to Think
big-data-is-great-but-dont-forget-intuition.xml
facebook_storage_device_open
Interface