In this part 5 of Fast Track Machine Learning (Machine Learning Overview) series, Dr. Dakshinamurthy Kolluru explains about the different aspects which makes a data science problem tough. He says that it is easy to work with structured data rather than an unstructured data and explains why it is so.

1. Inspire…Educate…Transform.
Part 5 (Machine Learning
Overview) - What Makes a
Problem Tough
Dr. K. V Dakshinamurthy
President, INSOFE
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3. WHAT MAKES SOME
PROBLEMS TOUGHER
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4. Structured data
• A spreadsheet form is the best
–A record is a row
–An attribute is a column
–Naturally lends itself to matrix
representation and hence is
mathematically easiest
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5. Unstructured data
• Text, image, audio, video
• First bring them to a spread sheet
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6. Dimension
• Search becomes tiring with higher
dimensions
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7. Size
• If we have 5 rows and 100 columns,
simply there is not enough data to
conclude
• Nano data is really complex to search
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8. YouTube link
• For a detailed video on this topic visit
the following link:
http://www.youtube.com/watch?v=sifX
LAHKfl8
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