Week in Review

Marketing Analytics, Data Science and Leadership – February 22, 2021 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science, and leadership you should be reading.

Scaling AI: The 4 challenges you’ll face via @venturebeat

Solving problems with machine learning (ML) to drive business outcomes requires customization.

Read the full article here: https://trustinsights.news/mhixt

6 NLP Techniques Every Data Scientist Should Know via @kdnuggets

The most famous, well-known, and used NLP technique is, without a doubt, sentiment analysis.

Read the full article here: https://trustinsights.news/9uhys

How does Polychoric Correlation Work? (aka Ordinal-to-Ordinal correlation) via @Rbloggers

Let’s say you’ve got data of many paired cases of two ordinal variables like you might when you ask a large number of people the same two Likert scale questions (e.g. “poor”, “fair”, “good”, “very good”, “excellent”). What could you learn from the data from those two questions?

Read the full article here: https://trustinsights.news/gmkjt

What Is Quality Score & Why It Matters via @siliconvallaeys

This score is normalized to remove any effect from the ads position on the page, the presence of ad extensions, and other factors that arent a direct measure of relevance.

Read the full article here: https://trustinsights.news/5ljuf

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