Machine Learning detailed syllabus scheme for B.Tech Computer Engineering (CE), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For all other DBATU Syllabus for Computer Engineering 5th Sem 2019-20, do visit CE 5th Sem 2019-20 Onwards Scheme. The detailed syllabus scheme for machine learning is as follows.
Machine Learning Syllabus for Computer Engineering (CE) 3rd Year 5th Sem 2019-20 DBATU
UNIT 1
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.
UNIT 2
Instance based learning, Feature reduction, Collaborative filtering based recommendation, Probability and Bayes learning.
UNIT 3
Logistic Regression, Support Vector Machine, Kernel function and Kernel SVM.
UNIT 4
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier..
UNIT 5
Computational learning theory, PAC learning model, Sample complexity, VC Dimension, Ensemble learning.
UNIT 6
Clustering: k-means, adaptive hierarchical clustering, Gaussian mixture model.
Reference Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier..
For detail syllabus of all other subjects of Computer Engineering (CE) 5th Sem 2019-20 regulation, visit CE 5th Sem Subjects syllabus for 2019-20 regulation.