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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)
- 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
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.