Student Interest in AI, Machine Learning is Accelerating

Student Interest in AI, Machine Learning is Accelerating

That is good news for students because it means that more schools will inevitably start offering this kind of coursework.

Additionally, it is good for employers desperate for A.I. and machine learning experts, because it means that the pool of talent will likely expand over the upcoming few years because these students enter the workforce.

At Stanford itself, registration in the college’s”Introduction to Artificial Intelligence” class has increased”fivefold” between 2012 and 2018, according to the report. That’s not even the fastest uptake: At the University of Illinois at Urbana-Champaign, an”Introduction to Machine Learning” route grew twelvefold between 2010 and 2018, with the most significant part of that spike happening after 2015.

Self-directed online learning A.I.-related topics have also picked up; the record draws on information from Udacity, among these online learning platforms, which saw climbing enrollment in five A.I./machine learning courses over the past couple of decades.

As you might expect, the number of PhD students specializing in A.I. and machine learning has also accelerated over the past couple of decades. “AI is the most popular PhD speciality for calculating PhD grads and continues growing the fastest,” the report adds. “In 2018, over 21 per cent of graduating computing PhDs specialize in Artificial Intelligence/ Machine Learning.”

Moreover, a number of these PhD grads are going directly to private companies, instead of staying in academia: “The per cent of graduating AI PhDs going to business increased from 21 per cent in 2004 to over 62% in 2018.”

And wouldn’t a hefty part of recently minted PhDs proceed to the commercial realm, given the wages and perks on offer to all those A.I. and machine learning specialists with the right mixture of skills? As an example, LinkedIn’s 2020 Emerging Jobs Report (PDF) sets”Artificial Intelligence Specialist” because its number-one emerging job, together with 74 per cent yearly growth over the past four decades.

A.I. jobs are, as you may anticipate, pretty lucrative and increasingly offered. Burning Glass, that analyzes millions of job postings from across the U.S., jobs that jobs between A.I. will rise 40.1 per cent over the next decade. Even though the median salary for these positions is $105,007 (for people who have a PhD, it drifts up to $112,300), those who work in A.I. obviously make much more.

Since A.I. and machine learning become more ubiquitous, the demand for A.I. education will only increase. Regardless of your role, getting familiar with the concepts behind A.I./ML is only going to help you in the years ahead. “Our analysis indicates that A.I. will be a significant factor in the future lives of relatively well-paid managers, supervisors, and analysts,” read a recent report from the Brookings Institution about the impact of A.I. on projects. “Also vulnerable are mill workers, who are well-educated in many occupations, in addition, to heavily involved with A.I. on the store floor. A.I. may be much less of a factor in the job of most lower-paid service workers.

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