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Charts tracking usage of 'machine learning'

Featured charts related to 'machine learning':

See our tips in the right column explaining options for viewing, printing, and downloading these interactive charts.

Interactive charts on this page show usage of the term 'machine learning' in Ariadne articles, tracking usage from 1996 (when publication started) to present (as of most recently published issue).

Data used in these charts is drawn from all articles tagged with 'machine learning', via our automated tagging system.

See our charts FAQ for more explanations of data charts presented here and elsewhere on our site.

Timeline of references to 'machine learning'

This data chart includes two timelines:

  • 'articles' timeline tracks the number of articles that mention 'machine learning' (per date)
  • 'total usage' timeline tracks all references throughout articles to 'machine learning' (per date)

Relative recency of references to 'machine learning'

This data chart highlights bands of recency:

  • numbers of articles referring to 'machine learning' recently (within previous year), mid-term (between one and three years), and longer-term (older than three years)
  • total usage of 'machine learning' recently (within previous year), mid-term (between one and three years), and longer-term (older than three years)

Top 10: authors most frequently referring to 'machine learning'

This chart shows up to 10 authors most frequently using this term 'machine learning'.

  • select author name label (near bottom of each column) to see an overview of all articles by author referring to 'machine learning'
  • the default view of articles and total usage shows how these authors compare overall
  • de-select the 'articles' label to hide this data set and focus on how these authors compare by total usage of 'machine learning'
  • de-select the ''total usage' label to hide this data set to focus on how these authors compare by total numbers of articles referring to 'machine learning'

Long tail: all authors referring to 'machine learning'

This data chart shows all authors referring to 'machine learning', ordered by each author's number of articles mentioning this term versus total usage of this term:

  • points in red plot data related to the top 10 authors most frequently referring to 'machine learning'
  • points in blue plot the (more or less) long tail of other authors also referring to 'machine learning'
  • vertical axis marks the number of articles by an author referring to 'machine learning'
  • horizontal axis marks an author's total usage of term 'machine learning'

Note that darker points in this chart can indicate overlaps where several authors have written the same numbers of articles with the same total usage of this term 'machine learning'.

Complete list of authors discussing 'machine learning'

Here is a list of all authors referring to 'machine learning', ordered by total usage of this term.

  • numbers in parentheses indicate each author's relative distribution in the chart above (total usage / number of articles).
  • author names provide links to overviews of articles by each author discussing 'machine learning'

simon choppin (5/1), sophia ananiadou (3/2), paul watry (2/1), michael day (2/2), julia chruszcz (2/1), john keane (2/1), john mcnaught (2/1), mike jones (1/1), tore hoel (1/1), nikki rogers (1/1), neil jacobs (1/1), simon price (1/1), damian steer (1/1)