The Affirmative Action of Vocabulary

Modern humans use their computers to distinguish dogs from muffins, bagels, and croissants. Good job, humanity.

Word analogies

Global vectors for word representation showing some examples of word associations along a gender vector.

Often true, seldom aspirational

A very badly done trendline to make my point.

Don’t change the future by reinforcing the past

Are these suggestions helpful?

--

--

--

Writer, speaker, accelerant. Intersection of tech & society. Strata, Startupfest, Bitnorth, FWD50. Lean Analytics, Tilt the Windmill, HBS, Just Evil Enough.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Learning with Uncertainty

Advancements in Neural Machine Translation

Thresholds and Evaluation Metrics for binary classification

The Economics of the Smart Factory: How does Machine Learning Lower the Cost of Asset Maintenance?

Image Classification: Classical Neural Networks

GCP Machine Learning Face-off: BQML versus Custom Estimators in TensorFlow

How to correct covariate shift?

Metal Casting product image classification for quality inspection using Pytorch.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Alistair Croll

Alistair Croll

Writer, speaker, accelerant. Intersection of tech & society. Strata, Startupfest, Bitnorth, FWD50. Lean Analytics, Tilt the Windmill, HBS, Just Evil Enough.

More from Medium

Study of DWT Approach to Solve Handwritten Digid Character Problem

Approaching any machine learning problem

Image Classification: From Non-Neural to Neural Approaches

Some Tips to deal with Imbalanced Datasets

This is the imbalanced datasets where postive class is in miniority and negative class is in majority .