Lets take a close look at three related terms (Deep Learning vs Machine Learning vs Pattern Recognition), and see how they relate to some of the hottest tech-themes in 2015 (namely Robotics and Artificial Intelligence). In our short journey through jargon, you should acquire a better understanding of how computer vision fits in, as well as gain an intuitive feel for how the machine learning zeitgeist has slowly evolved over time.
.
Deep Learning vs Machine Learning vs Pattern Recognition
I think I have a pretty good grasp on the meaning and scope of 'Machine Learning' but less so on the emerging field of 'Deep Learning'. Tomasz Malisiewicz has both the background and perspective to put these terms in context for us and I enjoyed his clear explanation. You can see it here:
Deep Learning vs Machine Learning vs Pattern Recognition
Comment
-
Comment by Sione Palu on August 4, 2015 at 7:17am
-
Relevant:
"A Common Logic to Seeing Cats and Cosmos"
https://www.quantamagazine.org/20141204-a-common-logic-to-seeing-ca...
-
-
Function Compositional Mapping:
https://en.wikipedia.org/wiki/Function_composition
In Electrical/Electronic Engineering, they don't call it learning. They call it System Identification. In machine learning they call it learning. Different terminologies from different domains & yet they mean the same thing mathematically and that is functional mapping.
-
-
In mathematical terminology they all lumped into functional mapping, whether its machine learning, deep learning, pattern recognition, system-identifications, etc, etc.
One maps X into Y via an approximating functional mapping function f , ie, Y:--> f(X)
Too many throw around terminologies these days without practitioners understanding of what they mean.
Related TechTarget Content
- Demand proliferates for low-code app development platforms
- US Senate mulling bill on data breach notifications
- AIOps network management requires vendor-buyer teamwork
- Deloitte SAP Industry Cloud apps aim to fill ERP gaps
- Compare 7 headless CMS offerings and their key differences
- 9 steps to a dynamic data architecture plan
- Building trustworthy AI is key for enterprises
- IoT and responsibility: Use digital for good
- 4 zero-trust IoT steps to scale security
- Apply hyperscale data center design principles to IT storage
Posted 27 July 2021
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
You need to be a member of Data Science Central to add comments!
Join Data Science Central