Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
97 Things About Ethics Everyone In Data Science Should Know
 Every now and then an opportunity comes along that...
Machine Learning is Transforming Modern Healthcare
 The pandemic has propelled the adoption of innovation and...
It’s a Bird, It’s a Plane, It’s a Classified Flying Object
 How Computer Vision Is Used To Classify Objects. Featuring...
Overcoming the Explainability Challenges of Machine Learning Models
 Some History Machine Learning Models, which have historically been...
SHARE THIS:

5 years ago
The Quest for Unicorns

 Will there be enough data scientists in the future? The question sounds like a subplot for a science fiction film, but it has received much attention over the past few years due to the forecast of a substantial shortfall in the industry. A McKinsey study has projected that “by 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills.” This deficit is making it increasingly challenging to hire data analysts; because of their rarity, they are now beginning to be described as unicorns. A recent article even magnifies the issue by calling

To view this content
Login OR subscribe for free

Already receive the Machine Learning Times emails?
The Machine Learning Times now requires legacy email subscribers to upgrade their subscription - one time only - in order to attain a password-protected login and gain complete access.

Click here to complete this one-time subscription upgrade

Existing Users Log In
   
New User Registration
*Required field

Comments are closed.

Pin It on Pinterest

Share This