podcast

How to train and deploy deep learning at scale

By Ben Lorica | March 15, 2018
How to train and deploy deep learning at scale
0:00 / 0:00

article

Sprouted clams and stanky bean: When machine learning makes mistakes

By Janelle Shane | March 8, 2018

article

Differentiating via data science

By Eric Colson | March 8, 2018

article

Inclusivity for the greater good

By Ajey Gore | March 8, 2018

article

Lessons in Google search data

By Seth Stephens-Davidowitz | March 8, 2018

article

Highlights from the Strata Data Conference in San Jose 2018

By Mac Slocum | March 7, 2018

article

Merging human and machine learning for everyday solutions

By Li Fan | March 7, 2018

article

Privacy in the age of machine learning

By Ben Lorica | March 7, 2018

article

Crisis Text Line data usage and insights

By Nancy Lublin, Bob Filbin | March 7, 2018

article

Defining responsible data practices: A community-driven approach

By Natalie Evans Harris | March 7, 2018

article

Data science in the cloud

By Alex Smola | March 7, 2018

podcast

Using machine learning to monitor and optimize chatbots

By Ben Lorica | March 6, 2018
Using machine learning to monitor and optimize chatbots
0:00 / 0:00

podcast

Unleashing the potential of reinforcement learning

By Ben Lorica | March 1, 2018
Unleashing the potential of reinforcement learning
0:00 / 0:00

podcast

Graphs as the front end for machine learning

By Ben Lorica | February 15, 2018
Graphs as the front end for machine learning
0:00 / 0:00

podcast

Machine learning needs machine teaching

By Ben Lorica | February 1, 2018
Machine learning needs machine teaching
0:00 / 0:00

podcast

How machine learning can be used to write more secure computer programs

By Ben Lorica | January 18, 2018
How machine learning can be used to write more secure computer programs
0:00 / 0:00