ML_Types_of_learning_SupUnSupervised.pptx

Introduction to Machine Learning and different types of learning algorithms including supervised, unsupervised, semi-supervised, reinforcement learning etc.

1. ML Types Supervised, Unsupervised Learning… PCS 206 1

2. Overview ML Types Supervised Learning Unsupervised Learning Semi supervised Learning Reinforcement Learning 2

3. Machine Learning begins with DATA Labeled data Unlabeled data 3

4. Supervised Learning…Contd. A  supervised learning algorithm  analyzes the training data Produces an inferred function This function is used for mapping new examples. 4

5. Supervised Learning ( x,y ) 5

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22. Machine Learning Algorithms Machine Learning methods are broadly classified into following categories: 22

23. Supervised Learning: Training Data mining task of inferring a function from  labeled training data . The training data consist of a set of training examples . In supervised learning, each example is a pair consisting of an input object (typically a vector) and the desired output value. 23

24. Supervised Learning…Testing An optimal scenario will allow for the algorithm to correctly determine the class labels for  unseen instances . This requires the learning algorithm to generalize from the training data to unseen situations in a “reasonable” way. Eg. classification and regression algorithms 24

25. Supervised Classification 25

26. Unsupervised Learning The information used to train is neither classified nor labeled. U.L studies how systems can infer a function to describe a hidden structure from unlabeled data. The system doesn’t figure out the right output, but it explores the data and can differentiate the given input data. All clustering algorithms fall under supervised learning. 26