RESOURCES

RESOURCES FOR MACHINE LEARNING ENGINEERING and I really like https://applyingml.com/

1. Examples of Deep Learning Libraries:

   • https://github.com/KaimingHe/examples : Examples of Pytorch library implementations by Kaiming He

   • https://keras.io/examples/ :Keras examples

   • *(NEW)* https://github.com/keras-team/keras-io/blob/master/call_for_contributions.md : Call for examples

2. Linear Algebra Course :

   • https://math.mit.edu/~gs/LectureNotes/ Gilbert strang

     1. MIT OCW YOUTUBE COURSE: https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C

     2. SINGULAR VALUE DECOMPOSITION AND PCA : https://www.youtube.com/watch?v=mBcLRGuAFUk&ab_channel=MITOpenCourseWare

3. Probability and Statistics:

   • Sampling theory : http://home.iitk.ac.in/~shalab/course432.htm

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