5 min
Linear Regression is one of the fundamental machine learning algorithms used to predict a continuous variable using one or more explanatory variables (features). In...
5 min
Brier score is an evaluation metric that is used to check the goodness of a predicted probability score. This is very similar to the...
Gradient Boosting is a machine learning algorithm, used for both classification and regression problems. It works on the principle that many weak learners (eg:...
17 min
Portfolio optimization in finance is the technique of creating a portfolio of assets, for which your investment has the maximum return and minimum risk....
tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to a callable Tensorflow graph function, which is usually more...
10 min
Compare the popular deep learning frameworks: Tensorflow vs Pytorch. We will go into the details behind how TensorFlow 1.x, TensorFlow 2.0 and PyTorch compare...
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