Subject archive for "deep-learning," page 4

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.

Joshua Poduska provides a distilled overview of Ludwig including when to use Ludwig’s command-line syntax and when to use its Python API.

Niels Kasch, cofounder of Miner & Kasch, an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference.

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise.

Paco Nathan‘s column covers themes that include open source, "intelligence is a team sport", and "implications of massive latent hardware".

Paco Nathan's column covers themes of data science for accountability, reinforcement learning challenges assumptions, as well as surprises within AI and Economics.