Course Name: Introduction to Machine Learning

Course abstract

This course provides a concise introduction to the fundamental concepts in machine learning and popular machine learning algorithms. We will cover the standard and most popular supervised learning algorithms including linear regression, logistic regression, decision trees, k-nearest neighbour, an introduction to Bayesian learning and the naïve Bayes algorithm, support vector machines and kernels and neural networks with an introduction to Deep Learning. We will also cover the basic clustering algorithms. Feature reduction methods will also be discussed. We will introduce the basics of computational learning theory. In the course we will discuss various issues related to the application of machine learning algorithms. We will discuss hypothesis space, overfitting, bias and variance, tradeoffs between representational power and learnability, evaluation strategies and cross-validation. The course will be accompanied by hands-on problem solving with programming in Python and some tutorial sessions.


Course Instructor

Media Object

Prof. Sudeshna Sarkar

Sudeshna Sarkar is a Professor and currently the Head 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.


More info

Teaching Assistant(s)

ALAPAN KUILA

PhD student, Dept. of Computer Science and Engineering, IIT Kharagpur

AYAN DAS

M.Tech, Computer Science and Engineering, IIT Kharagpur

 Course Duration : Jul-Sep 2017
  View Course
 Enrollment : 17-May-2017 to 24-Jul-2017
 Exam registration : 02-Aug-2017 to 23-Aug-2017
 Exam Date : 24-Sep-2017

Enrolled

16378

Registered

1148

Certificate Eligible

804

Certified Category Count

Gold

7

Silver

0

Elite

403

Successfully completed

394

Participation

163

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

BHARGAV D 94%

INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR

HRIDAY ANAND NISSANKARA 94%

NONE

RAJIV SRIVASTAVA 93%

TCS

PRONOY DE 93%

KIIT UNIVERSITY

AGNIBHA CHANDRA 92%

INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY

HARSHKUMAR SANJAYKUMAR PATEL 91%

CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY

NITHESH P 90%

SRM UNIVERSITY - KATTANKULATHUR

NACHIKET TAPAS 89%

IIIT NAYA RAIPUR

PREETI 89%

KPIT TECHNOLOGIES

SANTHANA RAJ 89%

PATHPARTNER TECHNOLOGY PVT LTD


Top 2 % of Certified Candidates

PRADEEP KUMAR 88%

M. B. M. ENGINEERING COLLEGE

BHASKAR SHARAN 88%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

ASHISH KUMAR 88%

INDIAN INSTITUTE OF TECHNOLOGY

ASHISHKUMAR KIRITBHAI GOR 88%

DHARAMSINH DESAI UNIVERSITY,NADIAD

ANUP ABDUL KHALAM 87%

FREELANCE

HARISH CHANDRA SINGH 87%

SAPIENT

ARNAB SEN 87%

ST.THOMAS COLLEGE OF ENGINEERING & TECHNOLOGY


Top 5 % of Certified Candidates

ADILAKSHMI KAMESWARI VADAVALLI 86%

SATHYABAMA UNIVERSITY

ARPITANSHU 86%

INSTITUTE OF TECHNOLOGY GGU

ROBIN SINGH CHAUHAN 86%

IIT Kharagpur

VIKASH RANJAN 86%

CISCO

SUKHDEEP SINGH KAHLON 86%

INDIAN INSTITUTE OF TECHNOLOGY MADRAS

ANETT ANTONY 86%

SCHOOL OF ENGINEERING

PRERANA CHAUHAN 86%

UNEMPLOYED

YASH GUGALE 85%

P.E.SS MODERN COLLEGE OF ENGINEERING

YOBEL JOHN PAUL P 85%

TATA CONSULTANCY SERVICES LTD

KARTHIKEYAN NAGARAJAN 85%

MERCEDES BENZ RESEARCH AND DEVELOPMENT

SOUMALYA NANDI 85%

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

SHREYAS K K 85%

R V COLLEGE OF ENGINEERING

SHASHANK SHEKHAR 85%

CITICORP SERVICES INDIA PVT LTD

RAM GANESH V 85%

INDIAN INSTITUTE OF TECHNOLOGY MADRAS

TEJASWI DABBIR 85%

SRM UNIVERSITY - KATTANKULATHUR

ANKITA DAS 84%

JALPAIGURI GOVERNMENT ENGINEERING COLLEGE

SHIVANI CHANDER 84%

NATIONAL INSTITUTE OF TECHNOLOGY TIRUCHIRAPPALLI

CHANDU GAYATHRI VENU MADHURI 84%

AMRITA VISHWA VIDYA PEETHAM

ARPIT AGARWAL 84%

GALGOTIAS COLLEGE OF ENGINEERING AND TECHNOLOGY

BHASKAR GAUR 84%

VIT UNIVERSITY VELLORE CAMPUS

RISHAV SAHA 84%

INSTITUTE OF ENGINEERING & MANAGEMENT

KRANTHI KUMAR M 84%

INDIAN INSTITUTE OF TECHNOLOGY MADRAS

NEHA VINAYAK 84%

INDIAN INSTITUTE OF FOREIGN TRADE

Enrollment Statistics

Total Enrollment: 16378

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Data Not Found..!

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.