Machine Learning: 2 Books in 1: Machine Learning for Beginners, Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application

Language Standardization
The data science community is actively looking to standardize a language
for the data mining process. This ongoing effort will allow an analyst to
conveniently work with a variety of data mining platforms by mastering one
standard Data mining language.
Scientific mining
The success of data mining technology in the industrial world has caught
the eye of the scientific and academic research community. For example,
psychologists are using “association analysis” to capture her and identify
human behavioral patterns for research purposes. Economists are using
protective analysis algorithms to forecast future market trends by analyzing
current market variables.
Web mining

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Web mining is “the process of discovering hidden data patterns and chains
using similar techniques of data mining and applying them directly on the
Internet”. The 3 main kinds of web mining are: “content mining”, “usage
mining”, and “structure mining”. For example, “Amazon” uses web mining
to gain an understanding of customer interactions with their website and
mobile application to provide more engaging and enhanced user experience
to their customers.
Data Mining Tools
Some of the most widely used data mining tools are:
Orange
Orange is “open-source component-based software written in Python”. It is
most frequently used for basic data mining analysis and offers top-of-the-
line data pre-processing features.
RapidMiner
RapidMiner is “open-source component-based software written in Java”. It
is most frequently used for “predictive analysis” and offers integrated
environments for “machine learning”, “deep learning” and “text mining”.
Mahout

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Mahout is an open-source platform primarily used for unsupervised
learning process” and developed by “Apache”. It is most frequently used to
develop “machine learning algorithms for clustering, classification, and
collaborative filtering”. This software requires advanced knowledge and
expertise to be able to leverage the full capabilities of the platform.
MicroStrategy
MicroStrategy is a “business intelligence and data analytics software that
can complement all data mining models”. This platform offers a variety of
drivers and gateways to seamlessly connect with any enterprise resource
and analyze complex big data by transforming it into accessible
visualizations that can be easily shared across the organization.

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