Managing a Successful AI Project, Part 1: setting actionable goals

From Succeeding with AI by Veljko Krunic

Focused human involvement and attention makes or breaks an AI project. This article discusses the first questions you should ask in the context of every AI project, as well as the most important ideas to keep in mind during any AI project.

A Pre-Trained Model that Fakes It until It Makes It

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

This article explores the use and capabilities of GANs, using a fictional (and inadvasible) example of aspiring art forgers.

The Meaning of the Churn Rate

  From Fighting Churn with Data by Carl Gold This article discusses measuring the churn rate. Take 37% off Fighting Churn with Data by entering fccgold into the discount code box at checkout at The Meaning of the Churn… Continue Reading →

Moving Your Analytics Data into the Cloud

From Designing Cloud Data Platforms by Danil Zburivsky and Lynda Partner

An Overview of Azure Cloud Services

  From Azure Data Engineering by Richard Nuckolls This article discusses Azure Cloud Services and it’s components. Take 37% off Azure Data Engineering by entering fccnuckolls into the discount code box at checkout at Microsoft Azure is a cloud… Continue Reading →

Everything You Need to Get Started with NLP

From Essential Natural Language Processing by Ekaterina Kochmar

Applying Deep Learning to Structured Data

From Deep Learning with Structured Data by Mark Ryan

Sentence Classification in NLP

From Real-World Natural Language Processing by Masato Hagiwara

In this article, we’re going to study the task of sentence classification, where an NLP model receives a sentence and assigns some label to it.

Where do People Fit Best into the Machine Learning Loop?

From Human-in-the-Loop Machine Learning by Robert Munro.

Spatial Reference Systems

From PostGIS in Action, Third Edition by Regina O. Obe and Leo S. Hsu

This article discusses some common spatial reference systems relevant for GIS.

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