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 a 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.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Dec 2020
  View Course
 Enrollment : 20-May-2020 to 21-Sep-2020
 Exam registration : 14-Sep-2020 to 02-Nov-2020
 Exam Date : 20-Dec-2020

Enrolled

42058

Registered

2577

Certificate Eligible

1150

Certified Category Count

Gold

3

Silver

76

Elite

349

Successfully completed

722

Participation

938

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

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 Note: We have taken best assignment score from Both Jan and July course
Introduction to Machine Learning - Toppers list
Top 1 % of Certified Candidates

PRASHANT BARTAKKE 96%

COLLEGE OF ENGINEERING PUNE

AKSHIV SINGHLA 91%

ANUJA SOMTHANKAR 90%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

AMAN BAGRECHA 89%

R V COLLEGE OF ENGINEERING

MANYA SINGH 89%

Indian Institute of Technology,Roorkee

AMAN KUMAR 88%

Indian Institute of Technology,Roorkee

PANDYA VEDANT MANOHAR 86%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

NIKHIL KUMAR 85%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

AAYUSH TOMAR 84%

Indian Institute of Technology,Roorkee

YARRAMSETTI PAVAN SAI KONDALA RAO 84%

RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES

ANURAG TIWARI 83%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

ASHUTOSH PANDEY 83%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

ASHISH RANJAN 83%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

ARYAN SHARMA 83%

ARYA COLLEGE OF ENGINEERING & INFORMATION TECHNOLOGY

SHIVANSHU SURENDRA SHRIVASTAVA 83%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY


Top 2 % of Certified Candidates

NAGA KALYAN REPALLE 82%

KAUSTUV DEB 82%

SUPREME KNOWLEDGE FOUNDATION GROUP OF INSTITUTIONS

DR.K.KUMAR 82%

GOVERNMENT COLLEGE OF TECHNOLOGY

SURENDRA GUPTA 82%

SHRI GOVINDRAM SEKSARIA INSTITUTE OF TECHNOLOGY AND SCIENCES

KARTIKA 82%

GURU NANAK DEV ENGINEERING COLLEGE

ANOOP A NAIR 82%

Indian Institute of Science Education and Research, Thiruvananthapuram (IISER-Tvm)

NEHA CHAUDHARY 82%

UTTARAKHAND TECHNICAL UNIVERSITY

RISHAV ADARSH 82%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA


Top 5 % of Certified Candidates

APARAJITH RAGHUVIR 81%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

VISHNURAJ R 81%

Indian Institute of Technology Madras

AYUSH KUMAR 81%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

ADITYA DUBEY 81%

BANARAS HINDU UNIVERSITY

SHILPA D GHODE 80%

KAVIKULGURU INSTITUTE OF TECHNOLOGY AND SCIENCE

ANIKET SUJAY 80%

Indian Institute of Technology,Roorkee

A SAMUEL MOSES 80%

Indian Institute of Technology,Madras

SUDHEER POOJARY 80%

Qualcomm

SHUBHAM KUMAR 80%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

SILAR MOHAMMED TANWIR 80%

Indian Institute of Technology,Roorkee

SANAT BHARGAVA 80%

Indian Institute of Technology,Roorkee

DEEPAK PUTREVU 80%

Indian Space Research Organization

ROMA GOEL 79%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, NAGPUR

KRISHNA KUMAR SUTAR 79%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

AAKASH KHEPAR 79%

Indian Institute of Technology,Roorkee

ISHITA JAIN 79%

PEC UNIVERSITY OF TECHNOLOGY

ISHWARI SINGH RAJPUT 79%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

MRIDULA KUMARI 79%

BANARAS HINDU UNIVERSITY

FAYAZUR RAHAMAN MOHAMMAD 78%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

K M BHARATHVAJ 78%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

NITISHA PRADHAN 78%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

ADITYA KUMAR SINGH 78%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

SHUBHAM SANJAYKUMAR MANE 78%

COLLEGE OF ENGINEERING PUNE

PRAGYA AGARWAL 78%

Noida Institute of Engineering and Technology

RAJKUMAR LAKSHMANAMOORTHY 78%

NIRO PROJECTS

JAGANATHAN ANNAMALAI PARAMESHWARAN 78%

VIGNESH S 78%

ADITYA 78%

Indian Institute of Technology,Roorkee

PRADEEP REDDY GOGULAMUDI 78%

VIT-AP UNIVERSITY

SAROJ KUMAR PANDA 78%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, NAGPUR

ABEENA A 77%

Amrita vishwa Vidyapeetham

SAISH BALAJI DESAI 77%

SHUBHRANGSHU GHOSH 77%

Tata Consultancy Services Pvt. Ltd.

AAJAZ AHMAD PADDER 77%

PEC UNIVERSITY OF TECHNOLOGY

ARUN A V 77%

GOVT. MODEL ENGINEERING COLLEGE

BACHU BALA RAJU 77%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

SIVA PRASATH K S K 77%

Extreme Networks

AMAN SINGH 77%

Indian Institute of Technology,Roorkee

KAMALAKAR BAPANAPALLI 77%

Not Working

Enrollment Statistics

Total Enrollment: 42058

Registration Statistics

Total Registration : 2242

Assignment Statistics



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.