Course Name: Machine Learning, ML

Course abstract

The scientific discipline of Machine Learning focuses on developing algorithms to find patterns or make predictions from empirical data. It is a classical sub-discipline within Artificial Intelligence (AI). The discipline is increasingly used by many professions and industries to optimize processes and implement adaptive systems. The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree based inductive learning, inductive logic programming, reinforcement learning and deep learning through decision trees.


Course Instructor

Media Object

Prof. Carl Gustaf Jansson

Carl Gustaf Jansson is tenured Professor in Artificial Intelligence at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden. His research contributions are mostly in artificial intelligence, in particular Knowledge Representation and Machine Learning. Particular research interests are intelligent interfaces and ubiquitous computing.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Feb-Apr 2021
  View Course
 Syllabus
 Enrollment : 18-Nov-2020 to 15-Feb-2021
 Exam registration : 15-Jan-2021 to 12-Mar-2021
 Exam Date : 25-Apr-2021

Enrolled

14250

Registered

517

Certificate Eligible

174

Certified Category Count

Gold

0

Silver

20

Elite

47

Successfully completed

107

Participation

89

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 5 out of 7 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Note:
We have taken best assignment score from both Jan 2020 and Jan2021 course
Machine Learning, ML - Toppers list
Top 1 % of Certified Candidates

MELINA MARIA AFONSO 89%

GOA COLLEGE OF ENGINEERING

ANIMESH ABHISHEKH SAHU 85%

POWERGRID CORPORATION OF INDIA LTD


Top 2 % of Certified Candidates

S SHASHANK 84%

UNIVERSITY COLLEGE OF ENGINEERING, OSMANIA UNIVERSITY


Top 5 % of Certified Candidates

POOJA HM 82%

MALNAD COLLEGE OF ENGINEERING

DINESH P 82%

DWARAKA DOSS GOVERDHAN DOSS VAISHNAV COLLEGE(AUTONOMOUS)

DR V SUBBA RAMAIAH 81%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

SHERICA LAVINIA MENEZES E FERRAO 81%

GOA COLLEGE OF ENGINEERING

VEDASHREE AYACHIT 80%

COLLEGE OF ENGINEERING PUNE

NAMBIAR NIKHIL SUNILKUMAR 80%

COLLEGE OF ENGINEERING PUNE

MARY DAYANA A 80%

Enrollment Statistics

Total Enrollment: 14250

Registration Statistics

Total Registration : 517

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.