1.Describe what is the Machine Learning , and what is the difference between Mac
ID: 3843915 • Letter: 1
Question
1.Describe what is the Machine Learning , and what is the difference between Machine Learning and Data mining. Provide a real world example of machine learning in action, and explain how it is used.
2.Explain what is a parametric machine learning algorithm and how is it different from a nonparametric machine learning algorithm
3.Provide and explain 3 examples of parametric machine learning algorithm
4.Provide and explain 3 examples of nonparametric machine learning algorithms
5.Discuss which of those 2 algorithm types are more accurate and more flexible
6.Describe the bias and variants, and provide the example of low /high bias algorithm. Justify your answer, explaining why is your example, an example of low/high bias algorithm
Explanation / Answer
Machine Learning
1. Machine learning is a technique or subfield of computers that provides computers with the ability to learn without being explicitly programmed.
2. Machine learning focuses on the development of computer programs that can change when exposed to new data.
3. Machine learning is closely related to computational statistics, which focuses in prediction making using computers.
4. Machine learning algorithms are often categorized as being supervised or unsupervised.
a. Supervised algorithms can apply what has been learned in the past to new data.
b. Unsupervised algorithms can draw inferences from datasets.
Difference between Machine Learning and Data Mining
1. Machine Learning relates with the study, design and development of the algorithms that give computers the capability to learn without being explicitly programmed. Data Mining can be defined as the process that starting from apparently unstructured data tries to extract knowledge and/or unknown interesting patterns. During this process machine Learning algorithms are used.
2. Machine learning is focused on software and systems and the purpose of data mining is finding patterns in databases.
Example where ML is used
It is most widely used in the digital cameras (in all smartphones) for face detection. The face detection that is being done by cameras while taking pictures or creating videos is a feature or application being enabled by Machine Learning.
How it is created or used:
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