Video Description

#machinelearning #machinelearningalgorithms #supervisedlearning #unsupervisedlearning

By the end of the video, learners will be able to
1. Describe the term machine learning;
2. List down what machine learning can do;
3. Identify examples of real-world applications of machine learning;
4. Discuss the generic model of machine learning;
5. Differentiate supervised learning and unsupervised learning;
6. Explain the two types of supervised learning;
7. Explain the two types of unsupervised learning;
8. Discuss what a machine learning algorithm is; and
9. Provide examples of machine learning algorithms.

00:00 Introduction
00:16 Arthur Samuels
00:26 Definition of machine learning
00:31 What machine learning can do
00:45 Real-world applications of machine learning
01:00 Generic model of machine learning
02:04 Supervised learning
02:36 Regression and Classification
03:06 Unsupervised learning
03:24 Clustering and Association
04:30 Machine learning algorithms
05:02 Subscribe and More Videos

Reference:
Alzubi, J., Nayyar, A., & Kumar, A. (2018). Machine Learning from Theory to Algorithms: An Overview. Journal of Physics: Conference Series, 1142(012012). 10.1088/1742-6596/1142/1/012012

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