Machine Learning

Machine Learning – Noun: A program or computer that can learn from the data it is given and will change its actions based on given information.

OED Definition- Noun – Computing the capacity of a computer to learn from experience, i.e. to modify its processing on the basis of newly acquired information.

Video explaining the concept of Machine Learning:

Etymology: Machine Learning:  Machine meaning A structure regarded as functioning as an independent body, without mechanical involvement  is from French Machine is from classical Latin māchina and originally from ancient Greek Doric μαχανά(mākhanā́) + Learning meaning the act of acquiring knowledge of a subject or skill in an art, etc. as a result of study, experience, or teaching is from Old English leornian and originally derived from Old German lerna and Old Saxon lînôn +  ing is from Old English -ung or -ing originally from Germanic origin and is used to make a gerund.  Machine Learning was first used in in an IBM Journal by Arthur Samuel but Samuel coined the term in the 1950’s.

Sociolectal Information: This phrase is mainly only used by people who work in the tech sector and other people that are focused on computers and coding. Machine learning can also be found in prevalently in  academia through research and scientific journals. Usage of this word has spiked dramatically since the 1980’s due to the rapid increase in computer power and advancements in artificial intelligence.

Machine Learning

Survival Predictions: The phrase Machine Learning should survive for a very long time to come and should increase in usage as well. As technology advances and machine learning is implemented more frequently so that the word should be used more increasingly by more and more people. Machine Learning’s meaning is also very obvious as it means exactly what it sounds like so it is pretty easy to guess what it means.

Lexopinions: Machine Learning is a productive and simple word that describes a complex idea very effectively. I think Machine Learning is a very important word as it denotes a concept that in time will revolutionize the way we live.

Spotswood takes on Machine Learning:z

Comments

  1. clbiesecker says:

    I think this is a great phrase to have for the technology and natural sciences category. It’s definitely relevant and a recent term, so kudos. Your etymology looks solid as well, super detailed, which is nice. In your interview, it seemed like some people perceive machine learning to be a dangerous thing, while you and other people might not see it that way…? What exactly does machine learning mean for our future? I know that we should be more focused on the actual phrase and all, but it’s interesting and important to know how people view it because the concept is obviously strongly linked to the term itself. You could see if there is a connotation that is linked to the phrase or if it’s purely objective. Here is a link to an article debating the danger vs. usefulness of machine learning: http://www.wired.com/insights/2014/06/machine-learning-bane-blessing-mankind/
    Also a small thing to fix- in your post you sometimes refer to “machine learning” as a phrase, and sometimes as a word. Is it both? I thought it was more just a phrase. I definitely agree with your survival prediction- machine learning is becoming larger and larger as we become more dependent on machines and are creating robots to do work for us. One person in your interview mentioned the movie “Ex Machina”, the movie about a robot woman. There is for sure a lot of media about robots and the line between machine learning and humanity. You might want to include something about how prominent a role machine learning plays in the media because I think it reflects a common human fear that robots are smarter than us and have power over us. Otherwise, this is a super accurate and informative post, and I’m glad you chose this phrase!

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