Course Name: Practical Machine Learning with Tensorflow

Course abstract

This will be an applied Machine Learning Course jointly offered by Google and IIT Madras. We will cover the basics of Tensorflow and Machine Learning in the initial sessions and advanced topics in the latter part. After this course, the students will be able to build ML models using Tensorflow.


Course Instructor

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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.
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Dr. Ashish Tendulkar

Dr. Ashish Tendulkar is a ML architect with Google Pay. He got his Master's and PhD from IIT Bombay and post-doc from Spain. He has held various positions including Assistant Professor at IIT Madras, VP of Data Science at Reliance and Principal Data Scientist at Media.net before joining Google.
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Teaching Assistant(s)

Pranshu Malviya

MS

Siddharth Nishtala

Project Associate

 Course Duration : Jan-Mar 2020

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 Syllabus

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 21-Feb-2020

 Exam Date : 29-Mar-2020

Enrolled

13374

Registered

Certificate Eligible

Will be announced

Certified Category Count

Gold

Will be announced

Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

Success

Elite

Gold





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Final Score Calculation Logic

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Enrollment Statistics

Total Enrollment: 13374

Registration Statistics

Total Registration : 1427

Assignment Statistics




Assignment Score

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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.