How to implement Linear Regression in TensorFlow
Learn how to implement a simple linear regression in Tensorflow 2.0 using the Gradient Tape API very clearly.
Brier Score – How to measure accuracy of probablistic predictions
Brier score is a evaluation metric that is used to check the goodness of a predicted probability score. This is very similar to the mean squared...
Gradient Boosting – A Concise Introduction from Scratch
Gradient boosting works by building weak prediction models sequentially where each model tries to predict the error left over by the previous model.
Portfolio Optimization with Python using Efficient Frontier with Practical Examples
Portfolio optimization in finance is the process of creating a portfolio of assets, which maximizes return and minimizes risk.
How to use tf.function to speed up Python code in Tensorflow
tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to a callable Tensorflow graph function, which is...
TensorFlow vs PyTorch – A Detailed Comparison
Compare the deep learning frameworks: Tensorflow vs Pytorch. We will go into the details behind how TensorFlow 1.x, TensorFlow 2.0 and PyTorch...