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Course Details

Credits & LTP
Each course offers 5 credit points.
Lecture
4
Tutorial
0
Practical (Hands-on)
1
Credit
5
Recommended For:
Graduation Programme - B.Sc.
Branch - Data Science
Semester -
4 th

Course Summary

Machine Learning is a branch of artificial intelligence that automates analytical model building and provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

The Machine Learning market size is expected to grow from US$1.03 billion in 2016 to US$8.81 billion worldwide by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period owing to a large number of new job openings.

The Machine Learning course, thus helps students to understand the basics of Machine Learning and its limitations. It provides details about different types of algorithms, probabilistic modelling and associate rule mining. It equips students with practical knowledge of machine learning algorithms for data analysis using Python.

Hands-On

A virtual hands-on environment is integrated within the course.

Students will have to leverage this environment to complete the industry assignment as well as to complete Part B of the summative assessment.

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RECOMMENDED PRIOR KNOWLEDGE
a. Basic knowledge of Python Programming
b. Basic use of Scikit-learn package in Python
c. Basic concepts of Linear Algebra, Calculus and Statistics

Course Syllabus

The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.
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RELATED COURSES
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Course Components

Digital Learning
Resources
Enriching eLearning resources accessible anytime and anywhere
Digital
Lectures
Digital lectures delivered by industry and academic experts
Academic Connect
Community
Focussed on building conceptual clarity
Industry Connect
Community
Focussed on building industry oriented applied knowledge
Industry
Assignment
Access to industry assignments
Practice
Assessment
Access to two practice assessments for self-evaluation
Summative
Assessment
2 part assessment - Test of knowledge and Test of application
Verifiable Digital
Certificate
Verifiable certificate on successful completion
Job
Opportunity
Visibility to job vacancies with leading corporate recruiters at the end of third year, subject to vacancies and their hiring policies

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