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THE CONNECTION BETWEEN ARTIFICIAL INTELLIGENT, MACHINE LEARNING AND DATA MINING
An Academic presentation byDr. Nancy Agens, Head, Technical Operations, Phdassistance Group www.phdassistance.comEmail: [email protected]
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In Brief
Introduction
Artificial Intelligence(AI)
Difference Between AI and ML
Interlinking “Data Mining” (DM) with AI and
ML Similarity between ML and DM
Similarity between AI and
DM Conclusion
Future Scopes
Outline
TODAY'S DISCUSSION
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One of the booming subjects inside the fields of Science and Technology include Artificial Intelligence (AI). The
power of Artificial Intelligence is unbelievable. Even professional experts such as Elon Musk, Stephen Hawking, etc. Before jumping into the Topic, here is an interesting fact
about artificial intelligence.
In Brief
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There was a workshop conducted as ‘Dartmouth Summer Research Project’ in 1956.
This program involved the participation of various experts, language professionals,analysts, budding scholars, and the like.
In this event, John McCarthy was the person who coined the term ‘Artificial Intelligence’, in the stance of clarifying queries regarding a “thinking machine.”
Now, moving onto to topic, let us quickly grasp the definition of Artificial Intelligence.
Introduction
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Developing the intelligence code of a machine is artificial intelligence.
Artificial Intelligence is paramount to the development of many online and offline industries such as medicine, food production, engineering, biochemistry, psychology, neuroscience, physics, and the list goes on.
Learning is a methodical process, whereby a person puts his or her fullest efforts to understand, read or write a concept, and memorize it for future purpose.
Machine learning(ML) and artificial intelligence go hand-in-hand.
To put it straight, machine learning is a sub-component under some optimized functions of AI.
Artificial Intelligence(AI)
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Media and marketing professionals refer to the term Artificial Intelligence over machine learning.
Difference Between AI and ML
if a media person speaks of expert systems, deep learning or process automation, they are referring to machine learning.
Artificial Intelligence and Machine Learning are both subsets and interrelated.
Artificial Intelligence (AI) Machine Learning (ML)
Contd..
AI means wisdom and highintelligence.
Proficiency in ML means gainingknowledge.
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Artificial Intelligence (AI) Machine Learning (ML)
The core focus or objective of Artificial Intelligence is to increase the chances of success rate (level).
Artificial intelligence is a technology that focusses on developing computational techniques to solve real-life problems.
Machine learning protocols target more about the accuracy in results.
Meaning, ML concerns more aboutlearning processes through data.
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Knowledge discovery is a simple term to refer to the process of data mining.
The science of deriving and extracting information pieces and data from alarge set of data is data mining.
More of collection, analyzation, storage, movement, storage and retrieval,mining this data has a close relation to both AI and ML.
Interlinking “Data Mining” (DM) with AI and ML
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The major similarity between machine learning and data mining is in itsdevelopmental pattern.
Data analysis and pattern recognition are 2 vital technologies that can change the way data mining concepts are handled by platforms.
And for this, data mining applications can be developed only through thetechniques of ML.
Similarity between ML and DM
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When the system identifies relevant information from its previously known information factory, then data mining works based on AI’s experience algorithms.
Financial industries and domains that involve more of money-related aspects such as insurance, consider the 3 technologies together comparatively. (AI + ML + DM)
Similarity between AI and DM
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AI is a growing solid technology which has the potential and skill to even turn a fantasy into the reality world.
The 3 buzzwords, artificial intelligence, machine learning, data mining, together will have the power to control even human brains in the upcoming eras without our insight.
Do not take leverage as both constructive and destructive results can occur from the misuse of technology in everyone’s life!
Conclusion
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You would have read technologies such as 5G, Tesla, smart grid, robotic surgery, and the like in various journals and articles.
But think about the one commonality they all own – Artificial Intelligence.
From the Research on Biomedical neurons to the study on Mechanical and Electrical Engineering, we are about to witness a livelihood, that would be faster, better, efficient, safe and productive.
Future Scopes
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