Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. This post provides distilled highlights, a transcript, and a video of the session. Session Summary. Transcript.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

DataRobot Blog

MARCH 9, 2022

With that said, recent advances in deep learning methods have allowed models to improve to a point that is quickly approaching human precision on this difficult task. With that said, recent advances in deep learning methods have allowed models to improve to a point that is quickly approaching human precision on this difficult task.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

Edwin Chen

JULY 30, 2012

A couple weeks ago, Facebook launched a link prediction contest on Kaggle, with the goal of recommending missing edges in a social graph. I love investigating social networks , so I dug around a little, and since I did well enough to score one of the coveted prizes, I’ll share my approach here. It’s pretty fun.). Distributions.

Metrics 81

Metrics Testing Machine Learning Modeling 81