Can machines do what we do & Can machines see what we see! Let's introduce machine learning...

1. Introduction to Machine Learning
Prepared By
Md. Mizanur Rahman Nayeem
Daffodil International University
Dhaka, Bangladesh
Date : 09/01/2019

2. Introduction to Machine Learning
Contents
 What is Machine Learning?
 Why Machine Learning?
 How Humans Learn
 How Machines Learn
 Categories
 Techniques
 Applications
 ML in Future
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3. What is Machine Learning ?
 “Learning is an adaptive skill that can
perform the same process better later on”
(Simon 1987).
 “In general, Machine Learning has to be
identified on how to improve the
computer algorithm automatically
through experience” (Mitchell 1997).
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4. Why Machine Learning?
Problem
Can machines do what
we do & Can machines
see what we see?
Solution
Machine Learning uses
algorithms that can learn from
and make predictions on data.
It can perform as like human.
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5. How Humans Learn
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6. How Machines Learn
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7. Categories of Machine Learning
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8. Different Techniques
 Classification
- predict class from observations
 Clustering
- group observations into “meaningful” groups
 Regression (prediction)
- predict value from observations
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9. Applications
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10. Machine Learning in Future
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11. References
 A study of pattern recognition of Iris flower based on Machine Learning. Yu Yang
(2013). BACHELOR’S THESIS. TURKU UNIVERSITY OF APPLIED
SCIENCES.[Degree Program: Information Technology | Specialization: Internet
Technology 2013 | 43 Instructor: Patric Granholm]
 “Machine Learning.” Wikipedia, Wikimedia Foundation, Available:
en.wikipedia.org/wiki/Machine_learning. Accessed on: Jan. 9, 2019.
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