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  1. This post covers my key takeaways from Stanford's CS231n (2016) Lecture 2 by Andrej Karpathy.

  2. Binary Numbers - HackerRank

    Problem: https://www.hackerrank.com/challenges/30-binary-numbers The requirement is to convert an integer and convert to a binary number format where we can get the maximum length of number of 1's.

  3. Neural Networks

    Before the Transformer boom, the neural networks was the new hype which was based on the human brain's neuron power and overall capability.

  4. List Comprehension - HackerRank

    This is my understanding of HackerRank Python question: Python - List Comprehension The idea is to provide an array of all possible combinations of [i, j, k] for the dimensions of a cuboid, however the sum of the array should not be equal to n.

  5. Linear Regression

    Linear regression is a fundamental concept in machine learning.

  6. Gradient Descent

    The purpose of the gradient descent is to minimize the function.