Machine Learning - What are the different Perspectives and Issues in Machine Learning by Mahesh Huddar

What are the different Perspectives and Issues in Machine Learning by Mahesh Huddar The following concepts are discussed: ______________________________ Which algorithms perform best for which types of problems and representations? How much training data is sufficient? Can prior knowledge be helpful even when it is only approximately correct? What is the best strategy for choosing a useful next training experience, and how does the choice of this strategy alter the complexity of the learning problem? How can the learner automatically alter its representation to improve its ability to represent and learn the target function? What is the best way to reduce the learning task to one or more function approximation problems? Put another way, what specific functions should the system attempt to learn? Can this process itself be automated? ******************************** 1. Blog / Website: https://www.vtupulse.com/ 2. Like Facebook Page: https://www.facebook.com/VTUPulse 3. Follow us on Instagram: https://www.instagram.com/vtupulse/ 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates