Introduction to Machine Learning NPTEL - Week 1

[@rohanraha2157]

Presentation, Notes, and Codes are available at the following link: drive.google.com/drive/u/1/folders/1GiXH6e8rC0qCZ0c5ATiiRkXBdtBuBZGj

[@SRINIVASANNR-t3m]

Hello Rohan, I had cleared the exam with elite silver.The way you explained confusion matrix and probability is very good. Thanks a lot

[@sunaastha]

Reinforcement Learning - ML feedback-based approach where agent learns to make decision by interacting with environment thru Trial and error process. Example: Dog fetching a Ball Agent: Dog Action (it takes) : Pick Ball Reward: Positive feedback, treats, praise etc. If not pick ball, no reward (ie. punishment). Therefore, Dog overtime learns thru trial-error and aims to maximize rewards.

[@HimashwethaA.U]

Helpful video

[@rohanraha2157]

Thanks!

[@Sanvitha2019]

Excellent Jii

[@atishsinhaa]

Some of the terminology i couldn't be able to understand in lectures provided

[@rohanraha2157]

which terminologies?

[@atishsinhaa]

Bhaiya u are writing too small in this session please increase the font if possible from next time plz

[@rohanraha2157]

Sure, will do

[@Sanvitha2019]

Needs clear explanation

[@pratikingle3963]

r u a student???

[@rohanraha2157]

Yes

[@AkhilRawat-ki8zk]

You explained that so clearly , it really helped me grasp the concept. I would really appreciate connecting with you on LinkedIn.