By means of algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being obviously programmed where to look. Machine learning uses that data to detect patterns in data and adjust program action...
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I am presenting the way to write your own functions for algorithms. In this series, I am starting with Gradient descent algorithm. I briefly explain, what is gradient descent. After that, I apply gradient descent algorithm for a linear regression to identify parameters. For illustration, I simulate data for simple linear regression. To read the full blog visit: https://www.rangtech.com/blog/ai-machine-learning/r-and-python-gradient-descent
