Course Name: Introduction to Machine Learning

Course abstract

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.


Course Instructor

Media Object

Prof.Balaraman Ravindran

Prof. Balaraman Ravindran is currently an associate professor in Computer Science at IIT Madras. He has nearly two decades of research experience in machine learning and specifically reinforcement learning. Currently his research interests are centered on learning from and through interactions and span the areas of data mining, social network analysis, and reinforcement learning.


Teaching Assistant(s)

Tarun Kumar

Ph.D. Computer Science and Engineering

Shreyas Shetty M

MS Computer Science and Engineering

 Course Duration : Jan-Apr 2018
  View Course
 Enrollment : 20-Nov-2017 to 22-Jan-2018
 Exam registration : 08-Jan-2018 to 07-Mar-2018
 Exam Date : 28-Apr-2018

Enrolled

16842

Registered

714

Certificate Eligible

405

Certified Category Count

Gold

3

Silver

0

Elite

162

Successfully completed

240

Participation

131

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 8 out of 12 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

ROHAN DEB 93%

NATIONAL INSTITUTE OF TECHNOLOGY, SILCHAR

DIPJYOTI BISHARAD 91%

National Institute of Technology Silchar

ANNADANAM RAYAPROLU GOUTHAM SREEKAR 90%

IIT MADRAS

MARIAPPAN SUBRAMANIAN 87%

Visual IQ, A Nielsen Company


Top 2 % of Certified Candidates

GIRISH SANJAY BHARAMBE 86%

VISHWAKARMA INSTITUTE OF INFORMATION TECHNOLOGY

H.SAHITHYA KAVYA 86%

INDIAN INSTITUTE OF TECHNOLOGY MADRAS

ARAVIND S 85%

IIT Madras

PRABHU VARA PRASAD BONAM 84%

SASTRA University

AJAY KUMAR 84%

CTS

SHAIKH SALIM RAMZANALI 84%

ADITYA BIRLA GROUP


Top 5 % of Certified Candidates

SANJAY MIRDHA 82%

Indian Institute of Technology Kharagpur

YADAV RITIK RANJAN 81%

IIT MADRAS

AVASARALA SAI KRISHNA SATHVIK 81%

IIT MADRAS

RANJEET KUMAR VERMA 80%

AMET UNIVERSITY

SOUMYA T V 80%

COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY, KALAMASSERY

SHANKAR KUMAR JHA 79%

FRACTAL ANALYTICS

ASHWIN DHAKAITA 79%

MEDI-CAPS UNIVERSITY,INDORE

RAKSHITHA K 78%

M S RAMAIAH INSTITUTE OF TECHNOLOGY

VAMSHI GANGADHAR CHILUKA 78%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

KRISHNA PAVAN PANNALA 78%

IIT MADRAS

K. ARUNA KUMARI 78%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

L.V.RAJANI KUMARI 78%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

YARLAGADDA. PADMA SHAYI 78%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

JERIN VIJU 78%

WISILICA

JOMESH GEORGE 78%

PURPOSE TECHNOLOGY

SAILAJA RAMAN 78%

DELOITTE CONSULTING

NITHYA ESAKI 78%

MAGIC9 MEDIA & CONSUMER KNOWLEDGE PVT. LTD.

ADITI SHANTANU JAHAGIRDAR 78%

MIT COLLEGE OF ENGINEERING

Enrollment Statistics

Total Enrollment: 16842

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Assignment Statistics



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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.