By Medium -
2020-12-10
A/B testing is a tool that allows to check whether a certain causal relationship holds. For example, a data scientist working for an e-commerce platform might want to increase the revenue by…
By Medium -
2020-11-29
Note: Here I will try to cover the idea of the Central Limit Theorem, and it’s significance in statistical analysis, and how it is useful…
By Machine Learning Mastery -
2021-02-02
Weight initialization is an important design choice when developing deep learning neural network models. Historically, weight initialization involved using small random numbers, although over the last ...
By realpython -
2021-02-02
In this tutorial, you'll learn what the stochastic gradient descent algorithm is, how it works, and how to implement it with Python and NumPy.
By Medium -
2020-12-15
Monte Carlo Methods is a group of algorithms that simulate the behavior of complex systems using inferential statistics.
By Medium -
2021-02-05
In this article, we will first understand the blockchain and how mining works. Then we will understand how to do bitcoin mining in python.
