An Insight Into the Differences Between Data Mining and Machine Learning

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Data Mining Services

• An Insight Into the Differences Between Data
  Miningand Machine Learning

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Introduction

• The rapid growth of the digital world has
  resulted in the introduction of multiple new
  technical phrases and terms. When it comes to
  data, terms like data science, data analytics,
  big data, and machine learning are used in many
  official meetings, boardroom discussions, and
  conferences. This often results in confusion
  among people on the actual meaning of these
  terms. Many of these terms might even sound
  similar but each term is distinct from the other.
  Here well discuss the difference between two
  widely used terms data mining and machine
  learning.

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Data Mining
Data mining is pivotal when it comes to
businesses like marketing, retail, banking, or
communication. It is a process that helps extract
useful information from a large amount of data.
Data mining is used for discovering accurate,
new, and beneficial patterns in the data, and
searching for relevant information and meaning
for the organization that requires it. It is a
tool that is used by humans. The chief goal of
data mining is to discover information or facts
that were previously not known or ignored using
complex mathematical algorithms. It leverages the
strength of various pattern recognition
techniques from machine learning to extract
knowledge and unknown patterns from huge data
sets.
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Machine Learning
A subset of artificial intelligence (AI), machine
learning provides computers the ability to learn
on their own without being programmed and improve
with experience. Machine learning applications
learn from previous transactions and computations
and utilize pattern recognition for producing
reliable results. Machine learning removes the
human element from learning to make machines
smarter and more intelligent. The technology
finds applications in everyday life be it fraud
detection, product recommendations, traffic
predictions, or your personal assistants like
Siri and Alexa.
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Are There Any Similarities Between Data Mining
and Machine Learning?
Data mining and machine learning both make use of
data for solving complex problems and the two
terms are often erroneously used interchangeably.
This does not come as a surprise because machine
learning is at times used for conducting
practical data mining. As data collected from
data mining can be used for teaching machines,
the differences between the two concepts tend to
blur. Also, both processes use the same complex
algorithms to discover data patterns.
Nevertheless, the desired results delivered from
the two processes differ from each other.
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Understanding The Differences Between Data Mining
and Machine Learning

• While there are some similarities between the two
  terms, there are a considerable number of
  differences as well. Lets understand the
  differences between data mining and machine
  learning
• The Time of Origin
• The Purpose
• Inputs Used
• Manual v/s Automatic
• Learning Ability
• Accuracy
• Ways of Use

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Conclusion
With more and more businesses wanting to become
more predictive and the amount of data
increasing, machine learning and data mining are
here to stay. The technologies impact business
decisions via data patterns and help
organizations in scaling up their decision-making
and analytical abilities. Damco is one of the
leading companies in web data mining adept at
helping you solve complex business problems via
its standard mining practices. Our experts have
in-depth expertise in data mining across common
industry verticals like real estate, marketing,
finance, etc.
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Contact Us

• 101 Morgan Lane, Suite 205, Plainsboro NJ
  08536
• 1 609 632 0350
• info_at_damcogroup.com
• Read here the inspired blog https//www.damcogrou
  p.com/blogs/data-mining-vs-machine-learning-unders
  tanding-key-differences
• Website https//www.damcogroup.com/ites-services.
  html

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