Machine learning Audience in United States

Demographics of Machine learning fans

Audience persona

The typical Machine learning fan in United States is more male, around 36.2 years old, with strong Need for Security tendencies and a notable affinity for Sports.

Top regions in United States

Top brand affinities

Brands and entities this audience over-indexes on, vs. the country average.

Psychographic profile

Top six personality traits over-indexed by this audience (1.0 = country average).

Worldwide distribution

See Machine learning audiences in other countries

• Machine learning — Germany
• Machine learning — United Kingdom
• Machine learning — France
• Machine learning — Italy
• Machine learning — Spain
• Machine learning — Brazil
• Machine learning — Japan
• Machine learning — South Korea
• Machine learning — India

More Field of study audiences in United States

• Music (181,108,961)
• Politics and social issues (139,815,487)
• Education (104,984,855)
• Medicine (89,907,855)
• Psychology (89,088,191)

Frequently asked questions

How many fans does Machine learning have in United States?

Machine learning has an estimated audience of 8,155,316 people in United States, concentrated in California and Texas.

What is the gender split and age of Machine learning fans?

41.1% of Machine learning fans are female, 58.9% are male, with an average age of 36.2 years.

Which brands do Machine learning fans like most?

Machine learning fans show strongest brand affinity for Sports (1.98×), Movies (2.02×), and Music (1.9×) over the country average.

Where do Machine learning fans live in United States?

Machine learning fans in United States are most concentrated in California (reach 1,625,916), Texas (reach 879,176), and New York (reach 746,709). These three regions account for the largest share of the active audience.

What other brands do Machine learning fans also like?

Beyond Machine learning itself, the audience over-indexes on Movies (2.02×), Music (1.9×), Food and drink (1.85×), and Reading (1.94×) compared to the United States average.

How to read this data

Audience size is the estimated number of people in United States who actively search for Machine learning. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.

About this audience profile

This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.