Introduction To Machine Learning detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing & Big Data (CC) students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Cloud Computing & Big Data 6th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 6th Sem 2021 regulation scheme. For Open Elective-I scheme and its subjects refer to Cloud Computing & Big Data (CC) Open Elective-I syllabus scheme. The detailed syllabus of introduction to machine learning is as follows.
Course Objectives:
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 pdfs platform to make students’s lives easier.
.
Course Outcomes:
On completion of the course, the student will be able to:
- Outline the concepts of Machine Learning Systems
- Explain the Regression Techniques
- Describe the Classification techniques
- Summarize Artificial Neural Network
Module 1:
Machine Learning Types- Supervised, Semi-supervised, Unsupervised and Reinforcement Learning Machine Learning Tasks- Prediction, Classification and Clustering- Applications examples of each Data Preparation- Data Cleaning, Feature Scaling, Linear discriminant analysis (LDA), Principal Component Analysis(PCA)
Module 2:
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 pdfs platform to make students’s lives easier..
Module 4:
Biological Neurons, Artificial Neurons, Logical computations with neurons, The Perceptron, Multilayer perceptron(MLP), Backpropagation, Regression and classification MLPs Deep Learning Concepts, Convolutional Neural Network (CNN), Filters- Convolution and Pooling operation, Activation function, Applications of CNN Recurring Neural Network (RNN) concepts, memory cells, Applications of RNN- Natural language Processing Transfer Learning- CNN architectures- AlexNet, GoogleNet, VGG, ResNet and Xception
For detailed syllabus of all other subjects of Cloud Computing & Big Data, 2021 revision curriculum do visit Cloud Computing & Big Data (CC) 6th Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Cloud Computing & Big Data of diploma 2021 revision curriculum do visit SITTTR diploma results..
For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar direct link.