பாடநெறி விவரங்கள்

COURSE OBJECTIVES 

 ➢ To recognize different key paradigms for machine learning concepts 

 ➢ To familiarize with various classifiers used for machine learning 

 ➢ To understand and differentiate among various supervised learning concepts 

 ➢ To become familiarize with data reduction and feature extraction methods 

 ➢ To apply suitable machine learning algorithms for simple engineering problems

COURSE OUTCOMES 

 On completion of the course, student will be able to 

CO1 - Classify supervised and unsupervised learning 

CO2 - Apply appropriate machine learning strategy for any given problem Max.

CO3 - Recommend supervised and unsupervised learning algorithms for any given problem 

CO4 - Apply the Bayesian concepts to machine learning 

 CO5 - Measure existing machine learning algorithms 

 CO6 - Develop an appropriate machine learning approaches for various challenges.