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ML SIG lecture resources
Jupyter Notebook Python
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ML-SIG 2019: lecture 1 Binder

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The first in a series of lectures on Machine Learning organized by BITS-ACM. This was an introductory lecture that introduced people to the world of Machine Learning. Interactive jupyter notebook was used. (accessible from the binder link here)

Topics covered

  • Introduction - definition of Machine Learning
  • Introduction to linear regression
  • Extending linear regression - polynomial regression.
  • Introduction to Neural Networks
  • Shortcomings of Neural Networks
  • Visualizing clustering algorithms

Pictures of the Event

The live lecture was conducted on November 6th 2019.


For any queries contact any of the lecturers below or alternatively, you can join the BITS-ACM machine-learning channel on Slack by filling this this google form.


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