In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

In this video, we delve into the fascinating world of big number multiplication and explore how computers perform this task efficiently. Traditional multiplication has a time complexity of O(n^2), but ...

What is linear regression? Linear regression is a basic machine learning algorithm that is used for predicting a variable based on its linear relationship between other independent variables.

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

The basic idea is to create an array of samples in a buffer using some features of SciPy’s NumPy component. Most regular waveforms are easy to create using an algorithm.