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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