Learn what is , along taking what they have learned in order to continue with their research and/or develop machine learning tools to positively impact their own fields. Thirdly, artificial intelligence has the potential to incrementally add 16% or around $ 13 trillion to the US economy by 2030 . The rate in which machine learning is causing positive impact, is already surprisingly impressive        which have been successful thanks to the dramatic change on data storage and computing processing power  — as more people are increasingly becoming involved, we can only expect it to continue with this route and continue to cause amazing progress on different fields .
Future work: In an upcoming article we will discuss the types of machine learning in simple terms, how they are currently being used by academia and industry alike with real-world examples of such.
The author would like to thank Anthony Platanios, Doctoral Researcher with the Machine Learning Department at Carnegie Mellon University for constructive criticism, along editorial comments in preparation of this article.
DISCLAIMER: The views expressed in this article are those of the author(s) and do not represent the views of Carnegie Mellon University, nor other companies (directly or indirectly) associated with the author(s). These writings are not intended to be final products, yet rather a reflection of current thinking, along being a catalyst for discussion and improvement.
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Algorithm: Process that follows a set of rules, a problem solver — specially used by computers.
Computer program: Collection of instructions that perform specific tasks when launched by a computer.
Deep neural network: Large computer system modeled after the human brain.
Input: What is put in, taken in, or operated on a process or system.
ML: Machine learning.
Machine learning: Study of computer algorithms that allow computer programs to automatically improve through experience.
Machine learning model/system: Question/answering system that takes care of processing machine learning related tasks.
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Machine Learning Blog, Cutting edge research on machine learning.
Distill, Latest articles on machine learning.
Google AI Blog, Latest news and articles from Google AI.
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 For pioneering contributions and leadership in the methods and applications of machine learning. | “Prof. Tom M. Mitchell”. National Academy of Engineering. Retrieved October 2, 2011.
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