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![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.
Sunday, August 30, 2020 11](https://image.slidesharecdn.com/introductiontomachinelearning-200830144400/85/Introduction-to-machine-learning-11-320.jpg)
Uploaded byNayeem Rahman
Introduction to machine learning
The document is an introduction to machine learning that was prepared by Md. Mizanur Rahman Nayeem of Daffodil International University. It defines machine learning and discusses why it is useful, how humans learn versus how machines learn, the categories and techniques of machine learning, applications of machine learning, and the future of machine learning. References are provided at the end.
Introduction to machine learning
- 1. Introduction to MachineLearning Prepared By Md. Mizanur Rahman Nayeem Daffodil International University Dhaka, Bangladesh Date : 09/01/2019
- 2. Introduction to MachineLearning Contents What is Machine Learning? Why Machine Learning? How Humans Learn How Machines Learn Categories Techniques Applications ML in Future Sunday, August 30, 2020 2
- 3. What is MachineLearning ? “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). Sunday, August 30, 2020 3
- 4. Why Machine Learning? Problem Canmachines 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. Sunday, August 30, 2020 4
- 5. How Humans Learn Sunday,August 30, 2020 5
- 6. How Machines Learn Sunday,August 30, 2020 6
- 7. Categories of MachineLearning Sunday, August 30, 2020 7
- 8. Different Techniques Classification -predict class from observations Clustering - group observations into “meaningful” groups Regression (prediction) - predict value from observations Sunday, August 30, 2020 8
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- 10. Machine Learning inFuture Sunday, August 30, 2020 10
- 11. References A studyof 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. Sunday, August 30, 2020 11
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