Course Name: Introduction to Machine Learning

Course abstract

This course provides a broad introduction to machine learning including statistical learning methods. The course will cover basic notions on machine learning the various issues and different supervised learning algorithms and a basic introduction to unsupervised learning.


Course Instructor

Media Object

Prof. Sudeshna Sarkar

Sudeshna Sarkar is a Professor in the Department of Computer Science and Engineering at IIT Kharagpur. She completed her B.Tech. in 1989 from IIT Kharagpur, MS from University of California, Berkeley, and PhD from IIT Kharagpur in 1995. She served briefly in the faculty of IIT Guwahati and at IIT Kanpur before joining IIT Kharagpur in 1998. Her research interests are in Machine Learning, Natural Language Processing, Data and Text Mining.
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Teaching Assistant(s)

AYAN DAS

ANIRBAN SANTARA

 Course Duration : Jul-Sep 2016
  View Course
 Syllabus
 Enrollment : 23-May-2016 to 18-Jul-2016
 Exam registration : 02-Aug-2016 to 19-Aug-2016
 Exam Date : 18-Sep-2016, 25-Sep-2016

Enrolled

4166

Registered

236

Certificate Eligible

153

Certified Category Count

Gold

2

Elite

91

Successfully completed

60

Participation

19

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Introduction to Machine Learning - Toppers list
Top 1 % of Certified Candidates

THIAGARAJAN SRIDHAR 92%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

SANTHOSH KULANDAIYAN 91%

PHILIPS


Top 2 % of Certified Candidates

NAVIN CHANDAR JACOB 88%

INAUTIX TECHNOLOGIES INDIA PVT LTD


Top 5 % of Certified Candidates

S KAMALAKANNAN 85%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

PANKIL DARU 84%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

VISAKHA CONTAINER TERMINAL PVT LTD

PRATANU MANDAL 83%

JIS COLLEGE OF ENGINEERING

NITIN NILESH 82%

COGNIZANT TECHNOLOGY SOLUTIONS

VYAS DIVYANG DINESHKUMAR 81%

DARSHAN INSTITUTE OF ENGINEERING AND TECHNOLOGY

PARTHA KUNDU 81%

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Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.